Alternatives to Ducky
Compare Ducky alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Ducky in 2026. Compare features, ratings, user reviews, pricing, and more from Ducky competitors and alternatives in order to make an informed decision for your business.
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1
Pinecone
Pinecone
The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely. -
2
Find specific answers and trends from documents and websites using search powered by AI. Watson Discovery is AI-powered search and text-analytics that uses innovative, market-leading natural language processing to understand your industry’s unique language. It finds answers in your content fast and uncovers meaningful business insights from your documents, webpages and big data, cutting research time by more than 75%. Semantic search is much more than keyword search. Unlike traditional search engines, when you ask a question, Watson Discovery adds context to the answer. It quickly combs through content in your connected data sources, pinpoints the most relevant passage and provides the source documents or webpage. A next-level search experience with natural language processing that makes all necessary information easily accessible. Use machine learning to visually label text, tables and images, while surfacing the most relevant results.Starting Price: $500 per month
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3
Azure AI Search
Microsoft
Deliver high-quality responses with a vector database built for advanced retrieval augmented generation (RAG) and modern search. Focus on exponential growth with an enterprise-ready vector database that comes with security, compliance, and responsible AI practices built in. Build better applications with sophisticated retrieval strategies backed by decades of research and customer validation. Quickly deploy your generative AI app with seamless platform and data integrations for data sources, AI models, and frameworks. Automatically upload data from a wide range of supported Azure and third-party sources. Streamline vector data processing with built-in extraction, chunking, enrichment, and vectorization, all in one flow. Support for multivector, hybrid, multilingual, and metadata filtering. Move beyond vector-only search with keyword match scoring, reranking, geospatial search, and autocomplete.Starting Price: $0.11 per hour -
4
Asimov
Asimov
Asimov is a foundational AI-search and vector-search platform built for developers to upload content sources (documents, logs, files, etc.), auto-chunk and embed them, and expose them via a single API to power semantic search, filtering, and relevance for AI agents or applications. It removes the burden of managing separate vector-databases, embedding pipelines, or re-ranking systems by handling ingestion, metadata parameterization, usage tracking, and retrieval logic within a unified architecture. With support for adding content via a REST API and performing semantic search queries with custom filtering parameters, Asimov enables teams to build “search-across-everything” functionality with minimal infrastructure. It is designed to handle metadata, automatic chunking, embedding, and storage (e.g., into MongoDB) and provides developer-friendly tools, including a dashboard, usage analytics, and seamless integration.Starting Price: $20 per month -
5
TopK
TopK
TopK is a serverless, cloud-native, document database built for powering search applications. It features native support for both vector search (vectors are simply another data type) and keyword search (BM25-style) in a single, unified system. With its powerful query expression language, TopK enables you to build reliable search applications (semantic search, RAG, multi-modal, you name it) without juggling multiple databases or services. Our unified retrieval engine will evolve to support document transformation (automatically generate embeddings), query understanding (parse metadata filters from user query), and adaptive ranking (provide more relevant results by sending “relevance feedback” back to TopK) under one unified roof. -
6
Cohere Rerank
Cohere
Cohere Rerank is a powerful semantic search tool that refines enterprise search and retrieval by precisely ranking results. It processes a query and a list of documents, ordering them from most to least semantically relevant, and assigns a relevance score between 0 and 1 to each document. This ensures that only the most pertinent documents are passed into your RAG pipeline and agentic workflows, reducing token use, minimizing latency, and boosting accuracy. The latest model, Rerank v3.5, supports English and multilingual documents, as well as semi-structured data like JSON, with a context length of 4096 tokens. Long documents are automatically chunked, and the highest relevance score among chunks is used for ranking. Rerank can be integrated into existing keyword or semantic search systems with minimal code changes, enhancing the relevance of search results. It is accessible via Cohere's API and is compatible with various platforms, including Amazon Bedrock and SageMaker. -
7
Embedditor
Embedditor
Improve your embedding metadata and embedding tokens with a user-friendly UI. Seamlessly apply advanced NLP cleansing techniques like TF-IDF, normalize, and enrich your embedding tokens, improving efficiency and accuracy in your LLM-related applications. Optimize the relevance of the content you get back from a vector database, intelligently splitting or merging the content based on its structure and adding void or hidden tokens, making chunks even more semantically coherent. Get full control over your data, effortlessly deploying Embedditor locally on your PC or in your dedicated enterprise cloud or on-premises environment. Applying Embedditor advanced cleansing techniques to filter out embedding irrelevant tokens like stop-words, punctuations, and low-relevant frequent words, you can save up to 40% on the cost of embedding and vector storage while getting better search results. -
8
txtai
NeuML
txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.Starting Price: Free -
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Voyage AI
MongoDB
Voyage AI provides best-in-class embedding models and rerankers designed to supercharge search and retrieval for unstructured data. Its technology powers high-quality Retrieval-Augmented Generation (RAG) by improving how relevant context is retrieved before responses are generated. Voyage AI offers general-purpose, domain-specific, and company-specific models to support a wide range of use cases. The models are optimized for accuracy, low latency, and reduced costs through shorter vector dimensions. With long-context support of up to 32K tokens, Voyage AI enables deeper understanding of complex documents. The platform is modular and integrates easily with any vector database or large language model. Voyage AI is trusted by industry leaders to deliver reliable, factual AI outputs at scale. -
10
Parallel
Parallel
The Parallel Search API is a web-search tool engineered specifically for AI agents, designed from the ground up to provide the most information-dense, token-efficient context for large-language models and automated workflows. Unlike traditional search engines optimized for human browsing, this API supports declarative semantic objectives, allowing agents to specify what they want rather than merely keywords. It returns ranked URLs and compressed excerpts tailored for model context windows, enabling higher accuracy, fewer search steps, and lower token cost per result. Its infrastructure includes a proprietary crawler, live-index updates, freshness policies, domain-filtering controls, and SOC 2 Type 2 security compliance. The API is built to fit seamlessly within agent workflows: developers can control parameters like maximum characters per result, select custom processors, adjust output size, and orchestrate retrieval directly into AI reasoning pipelines.Starting Price: $5 per 1,000 requests -
11
Objective
Objective
Objective is a multimodal search API that works for you, not the other way around. Objective understands your data & your users, enabling natural and relevant results. Even when your data is inconsistent or incomplete. Objective understands human language, and ‘sees’ inside images. Your web & mobile app search can understand what users mean, and even relate that to the meaning it sees in images. Objective understands the relationships between huge text articles and the parts of content in each, letting you build context-rich text search experiences. Best-in-class search comes from layering all the best search techniques. It’s not about any single approach. It’s about a curated, tight top-to-bottom integration of all the best search & retrieval techniques in the world. Evaluate search results at scale. Anton is your evaluation copilot that can judge search results with near‑human precision, available in an on‑demand API. -
12
LupaSearch
LupaSearch
LupaSearch is an advanced AI-driven search and discovery platform designed to enhance user experiences. Our engineers have developed cutting-edge technology that combines powerful natural language processing, vector search, and advanced keyword matching in one seamless API. The stats are in our favor: we boast a 100% client retention rate, and our search speed is a significant improvement over industry standards, ranging from 60-250ms. At LupaSearch, we put skin in the game by committing to contracts that align with our clients' goals, ensuring we deliver measurable results. LupaSearch handles millions of search requests globally with exceptional speed and accuracy, empowering businesses to deliver precise and scalable search experiences.Starting Price: $200/month -
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Superlinked
Superlinked
Combine semantic relevance and user feedback to reliably retrieve the optimal document chunks in your retrieval augmented generation system. Combine semantic relevance and document freshness in your search system, because more recent results tend to be more accurate. Build a real-time personalized ecommerce product feed with user vectors constructed from SKU embeddings the user interacted with. Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook. -
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Vertex AI Search
Google
Google Cloud's Vertex AI Search is a comprehensive, enterprise-grade search and retrieval platform that leverages Google's advanced AI technologies to deliver high-quality search experiences across various applications. It enables organizations to build secure, scalable search solutions for websites, intranets, and generative AI applications. It supports both structured and unstructured data, offering capabilities such as semantic search, vector search, and Retrieval Augmented Generation (RAG) systems, which combine large language models with data retrieval to enhance the accuracy and relevance of AI-generated responses. Vertex AI Search integrates seamlessly with Google's Document AI suite, facilitating efficient document understanding and processing. It also provides specialized solutions tailored to specific industries, including retail, media, and healthcare, to address unique search and recommendation needs. -
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3RDi Search
The Digital Group
Welcome to the era of Big Data where data-driven insights have the power to transform your business. You're about to discover the solution: a powerful, innovative and adaptive platform power packed with every feature you need for Search, Discovery & Analytics of your data. We have named it 3RDi "Third Eye". It's the semantic search engine your enterprise needs to help you take action, boost revenues and cut costs! Powered by NLP and semantic search, it is designed for multidimensional information analysis and easy search relevancy management. Discover the comprehensive scalable platform for every challenge in search & text mining, from management and exploitation of unstructured content to deriving deeper actionable insights that boost your business. 3RDi isn't merely a search solution. It is a comprehensive stack of solutions for text mining, enterprise search, content integration, governance, analytics and much more. -
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Queryra
Queryra
Queryra is an AI-powered semantic search plugin for WordPress and WooCommerce. It replaces default keyword matching with intelligent search that understands what customers mean. When someone searches "gift for dad who likes gardening", default WooCommerce search returns 0 results. Queryra finds garden gloves, plant pots, and seed kits — even without exact keyword matches. How it works: Your products are converted into AI embeddings. When customers search, their query is understood semantically and matched by meaning, not just keywords. Key features: - AI semantic search trained on YOUR products, not generic ChatGPT - No OpenAI API key needed — everything included - WooCommerce support: SKU, price, categories, tags, attributes - Smart product boost controls for high-margin items - Live AJAX search with instant suggestions - Auto-sync when products are published - 5-minute setup with guided wizardStarting Price: $9/month -
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Klevu
Klevu
Klevu is an intelligent site search solution designed to help e-commerce businesses increase onsite sales and improve the customer online shopping experience. Klevu powers the search and navigation experience of thousands of mid-level and enterprise online retailers by leveraging advanced semantic search, natural language processing, merchandising and multi-lingual capabilities, ensuring visitors to your site find exactly what they are looking for regardless of the device or query complexity. Klevu AI is the most human-centric based AI, designed specifically for ecommerce, and one of the most comprehensive, included in Gartner’s Market Guide 2021 for Digital commerce search. Deliver relevant search results to your customers with Klevu’s powerful and customizable search engine built exclusively for ecommerce.Starting Price: $449 per month -
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Inbenta Search
Inbenta
Deliver more accurate results through Inbenta Semantic Search Engine’s ability to understand the meaning of customer queries. While the search engine is the most widespread self-service tool on web pages with 85% of sites having one, the ability to serve up the most relevant information could be the difference between a good or poor onsite customer experience. Inbenta Search pulls data from across your customer relationship tools, such as Salesforce.com and Zendesk, as well as other designated websites. The Inbenta Symbolic AI and Natural Language Processing technology enable the semantic Inbenta Search to understand customers’ questions, quickly deliver the most relevant answers, and reduce on your support costs. Using Inbenta Symbolic AI technology also means that there is no need for lengthy data training, which allows you to quickly and easily deploy and benefit from the Inbenta Search engine tool. -
19
JAQI
Metal Networks.AI
Copy and paste queries or type right into our search box and our AI technology takes care of the rest. Increases efficiency by 50-80% with accurate search results. JAQI® makes life easier by translating the way a buyer describes products into searchable terms. Your ecommerce customers or sales reps no longer need to do the "matching" to your catalog. Our search technology supports industrial materials with flexible customization options. Say goodbye to searching one line item at a time using inefficient drop-down menus or filters. Search 10, 20, or even 100+ line items simultaneously and add to your quote in seconds. JAQI API plug-in easily integrates into ecommerce applications such as websites & ERP systems to power fast and accurate search results for your customers. Our technology makes it faster & easier than ever before to find any product in any catalog in any format. JAQI powers your ecommerce website or ERP with AI search technology. -
20
NeuraVid
NeuraVid
NeuraVid is an AI-powered video analysis platform designed to transform video content into actionable insights. It offers advanced transcription services with industry-leading accuracy, converting speech to text while identifying multiple speakers and providing word-level timestamps. It supports over 40 languages, ensuring accessibility for a global audience. NeuraVid's AI-powered semantic search enables users to find specific moments within videos instantly, looking beyond exact matches to locate contextually relevant content. Additionally, it automatically generates smart chapters and concise summaries, facilitating effortless navigation through lengthy videos. NeuraVid also features an AI video assistant that allows users to interact with their videos, obtaining insights, summaries, and answers to questions about the content in real time.Starting Price: $19 per month -
21
Rinalogy Search
Rinalogy
Almost any search query applied to Big Data returns a very large number of results that are often practically impossible to review. Every user has specific needs. Finding information based on a user query and general data statistics does not produce useful results. eDiscovery, healthcare, financial services, crime, consulting, academia and other fields need to be able to quickly find accurate information. Rinalogy Search is a next generation search tool that uses machine learning to interactively learn from each user to return personalized results based on user’s feedback in real time. Rinalogy Search returns relevancy scores for individual documents in the results for each query. Rinalogy Search can be deployed in clients’ IT infrastructure, close to your data and behind your firewall. Rinalogy allows users to define the level of importance of search concepts by assigning weights to them, which helps finding the results You are looking for.Starting Price: $50 per month -
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ArangoDB
ArangoDB
Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets. -
23
Vantage Discovery
Vantage Discovery
Vantage Discovery is a generative AI-powered SaaS platform that enables intelligent search, discovery, and personalized recommendations so retailers can deliver breathtaking user experiences. Harness the power of generative AI to create semantic search, product discovery experiences, and personalized recommendations. Transform your search capabilities from keyword-based to natural language semantic search where your user's meaning, intent, and context are understood and used to deliver exceptional experiences. Create completely new and delightful discovery experiences for your users based on their interests, preferences, intent, and your company's merchandising goals. Deliver the most personalized and targeted results across millions of items in milliseconds utilizing a semantic understanding of the user's query and personal style. Deliver delightful user experiences with powerful features delivered by simple APIs. -
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Site Search 360
Zoovu (Germany) (formerly SEMKNOX)
Site Search 360 is a smart, ad-free search bar for your website. With a simple drag-and-drop integration, get your search up and running in no time! Let your visitors find exactly what they are looking for, right away. Features of Site Search 360 include: - Quick and easy visual configuration - Autocomplete and search suggestions - Low-to-no-code Search Designer for a customized search UX/UI - Faceted search results (filters) - Semantic search: built-in dictionaries in 19 languages + the ability to add your custom synonyms - In-depth Analytics to help you get the most out of your search: what your visitors look for the most, what results they click on, what queries bring no results, etc. - Full control over search results: boost, reorder, redirect them in no time with our low-to-no-code Result Manager - Integration with Google Analytics and Google Tag Manager - Import of Google Custom Search promotions - Awesome support: via live chat, email, or phoneStarting Price: $9.00/month -
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Hulbee Enterprise Search
Hulbee
Security plays a very important role for us, that is why we make the most secure provision in the distribution of rights: Active Directory settings. This ensures 100% that the files are only displayed to the assigned person. Many companies want their own and innovative search for the website or intranet. Through the Hulbee Enterprise Search software, you get a semantic search of the information with a high-quality results relevance. You also have the option to customize your search using API and SDK. Many companies are technically very creative and want to adapt our Hulbee Enterprise Search to their own needs. We will be pleased to provide you this opportunity! Like a lego system, you can customize and extend our software to your IT needs. No matter whether Internet or Intranet, everything can be linked by API and expanded by SDK! You can also connect your own development environment to our search, so you remain independent from third parties. -
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Apache Lucene
Apache Software Foundation
The Apache Lucene™ project develops open-source search software. The project releases a core search library, named Lucene™ core, as well as PyLucene, a python binding for Lucene. Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub project provides Python bindings for Lucene Core. The Apache Software Foundation provides support for the Apache community of open-source software projects. Apache Lucene is distributed under a commercially friendly Apache Software license. Apache Lucene set the standard for search and indexing performance. Lucene is the search core of both Apache Solr™ and Elasticsearch™. Our core algorithms along with the Solr search server power applications the world over, ranging from mobile devices to sites like Twitter, Apple and Wikipedia. The goal of Apache Lucene is to provide world class search capabilities. -
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LangSearch
LangSearch
Connect your LLM applications to the world, and access clean, accurate, high-quality context. Get enhanced search details from billions of web documents, including news, images, videos, and more. It achieves ranking performance of 280M~560M models with only 80M parameters, offering faster inference and lower cost. -
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Repustate
Repustate
Repustate provides world-class AI-powered semantic search, sentiment analysis and text analytics for organizations globally. It gives businesses the capability to decode terabytes of information and discover valuable, actionable, business insights more astutely than ever. From our esteemed clients in the Healthcare industry, to recognised leaders in Education, Banking or Governance, Repustate provides continuous deep dives into complex integrated data across industries. Our solution drives sentiment analysis and text analytics for social media listening, Voice of Customer (VOC), and video content analysis (VCA) across platforms. It encompasses the plethora of slangs, emojis and acronyms superseding the rules of formal language in social media. Whether it’s data from Youtube, IGTV, Facebook, Twitter or TikTok, or your own customer review forums, employee surveys, or EHRs, you can identify the critical aspects of your business precisely.Starting Price: $299 per month -
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Jina Reranker
Jina
Jina Reranker v2 is a state-of-the-art reranker designed for Agentic Retrieval-Augmented Generation (RAG) systems. It enhances search relevance and RAG accuracy by reordering search results based on deeper semantic understanding. It supports over 100 languages, enabling multilingual retrieval regardless of the query language. It is optimized for function-calling and code search, making it ideal for applications requiring precise function signatures and code snippet retrieval. Jina Reranker v2 also excels in ranking structured data, such as tables, by understanding the downstream intent to query structured databases like MySQL or MongoDB. With a 6x speedup over its predecessor, it offers ultra-fast inference, processing documents in milliseconds. The model is available via Jina's Reranker API and can be integrated into existing applications using platforms like Langchain and LlamaIndex. -
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BGE
BGE
BGE (BAAI General Embedding) is a comprehensive retrieval toolkit designed for search and Retrieval-Augmented Generation (RAG) applications. It offers inference, evaluation, and fine-tuning capabilities for embedding models and rerankers, facilitating the development of advanced information retrieval systems. The toolkit includes components such as embedders and rerankers, which can be integrated into RAG pipelines to enhance search relevance and accuracy. BGE supports various retrieval methods, including dense retrieval, multi-vector retrieval, and sparse retrieval, providing flexibility to handle different data types and retrieval scenarios. The models are available through platforms like Hugging Face, and the toolkit provides tutorials and APIs to assist users in implementing and customizing their retrieval systems. By leveraging BGE, developers can build robust and efficient search solutions tailored to their specific needs.Starting Price: Free -
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Semantee
Semantee.AI
Semantee is a hassle-free easily configurable managed database optimized for semantic search. It is provided as a set of REST APIs, which can be integrated into any app in minutes and offers multilingual semantic search for applications of virtually any size both in the cloud and on-premise. The product is priced significantly more transparently and cheaply compared to most providers and is especially optimized for large-scale apps. Semantee also offers an abstraction layer over an e-shop's product catalog, enabling the store to utilize semantic search instantly without having to re-configure its database.Starting Price: $500 -
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Bloomreach
Bloomreach
Bloomreach personalizes the e-commerce experience. Its data engine unifies real-time customer and product data so businesses understand what customers really want. By connecting that understanding to every channel, the e-commerce experience becomes limitless — reflecting a changing customer as they shop. Amplified by the speed and scale of Loomi, Bloomreach's AI for e-commerce, this creates endless new paths to purchase. Bloomreach products include: Engagement, a marketing automation platform; Discovery, an e-commerce search solution; Content, a headless CMS; and Clarity, AI-powered conversational shopping. The company has multiple AI patents and serves global brands that include Williams-Sonoma, Bosch, Puma, and Marks & Spencer. -
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Unless
Unless
Unless provides a conversational AI platform tailored for regulated industries such as finance, insurance, and healthcare. Their technology enables companies to deploy compliant AI support assistants seamlessly into existing systems. Users interact with an AI system designed to deliver accurate, reliable responses while adhering to regulatory requirements. The platform supports both chat and search functionalities, enhancing customer support and operational efficiency. Unless emphasizes transparency by clearly informing users when they are interacting with AI, with easy access to human assistance if needed. It is designed to help regulated companies innovate while maintaining compliance and trust.Starting Price: €1699/month -
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Infinia ML
Infinia ML
Document processing is complicated, but it doesn’t have to be. Introducing an intelligent document processing platform that understands what you’re trying to find, extract, categorize, and format. Infinia ML uses machine learning to quickly grasp content in context, understanding not just words and charts, but the relationships between them. Whether your goal is process automation, predictive insights, relationship understanding, or a semantic search engine, we can build it with our end-to-end machine learning capabilities. Use machine learning to make better business decisions. We customize your code to address your specific business challenge, surfacing untapped opportunities, revealing hidden insights, and generating accurate predictions to help you zero in on success. Our intelligent document processing solutions aren’t magic. They’re based on advanced technology and decades of applied experience. -
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Ragie
Ragie
Ragie streamlines data ingestion, chunking, and multimodal indexing of structured and unstructured data. Connect directly to your own data sources, ensuring your data pipeline is always up-to-date. Built-in advanced features like LLM re-ranking, summary index, entity extraction, flexible filtering, and hybrid semantic and keyword search help you deliver state-of-the-art generative AI. Connect directly to popular data sources like Google Drive, Notion, Confluence, and more. Automatic syncing keeps your data up-to-date, ensuring your application delivers accurate and reliable information. With Ragie connectors, getting your data into your AI application has never been simpler. With just a few clicks, you can access your data where it already lives. Automatic syncing keeps your data up-to-date ensuring your application delivers accurate and reliable information. The first step in a RAG pipeline is to ingest the relevant data. Use Ragie’s simple APIs to upload files directly.Starting Price: $500 per month -
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Elasticsearch
Elastic
Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases. Elastic's global community has more than 100,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 400 million cumulative downloads. Today thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. Elastic has headquarters in Amsterdam, The Netherlands, and Mountain View, California; and has over 1,000 employees in more than 35 countries around the world. -
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Microsoft Purview
Microsoft
Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data. Automated data discovery, lineage identification, and data classification across on-premises, multicloud, and SaaS sources. Unified map of your data assets and their relationships for more effective governance. Semantic search enables data discovery using business or technical terms. Insight into the location and movement of sensitive data across your hybrid data landscape. Establish the foundation for effective data usage and governance with Purview Data Map. Automate and manage metadata from hybrid sources. Classify data using built-in and custom classifiers and Microsoft Information Protection sensitivity labels.Starting Price: $0.342 -
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Dgraph
Hypermode
Dgraph is an open source, low-latency, high throughput, native and distributed graph database. Designed to easily scale to meet the needs of small startups as well as large companies with massive amounts of data, DGraph can handle terabytes of structured data running on commodity hardware with low latency for real time user queries. It addresses business needs and uses cases involving diverse social and knowledge graphs, real-time recommendation engines, semantic search, pattern matching and fraud detection, serving relationship data, and serving web apps. -
39
deepset
deepset
Build a natural language interface for your data. NLP is at the core of modern enterprise data processing. We provide developers with the right tools to build production-ready NLP systems quickly and efficiently. Our open-source framework for scalable, API-driven NLP application architectures. We believe in sharing. Our software is open source. We value our community, and we make modern NLP easily accessible, practical, and scalable. Natural language processing (NLP) is a branch of AI that enables machines to process and interpret human language. In general, by implementing NLP, companies can leverage human language to interact with computers and data. Areas of NLP include semantic search, question answering (QA), conversational AI (chatbots), semantic search, text summarization, question generation, text generation, machine translation, text mining, speech recognition, to name a few use cases. -
40
Cohere
Cohere AI
Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.Starting Price: Free -
41
NVIDIA NeMo Retriever
NVIDIA
NVIDIA NeMo Retriever is a collection of microservices for building multimodal extraction, reranking, and embedding pipelines with high accuracy and maximum data privacy. It delivers quick, context-aware responses for AI applications like advanced retrieval-augmented generation (RAG) and agentic AI workflows. As part of the NVIDIA NeMo platform and built with NVIDIA NIM, NeMo Retriever allows developers to flexibly leverage these microservices to connect AI applications to large enterprise datasets wherever they reside and fine-tune them to align with specific use cases. NeMo Retriever provides components for building data extraction and information retrieval pipelines. The pipeline extracts structured and unstructured data (e.g., text, charts, tables), converts it to text, and filters out duplicates. A NeMo Retriever embedding NIM converts the chunks into embeddings and stores them in a vector database, accelerated by NVIDIA cuVS, for enhanced performance and speed of indexing. -
42
Couchbase
Couchbase
Unlike other NoSQL databases, Couchbase provides an enterprise-class, multicloud to edge database that offers the robust capabilities required for business-critical applications on a highly scalable and available platform. As a distributed cloud-native database, Couchbase runs in modern dynamic environments and on any cloud, either customer-managed or fully managed as-a-service. Couchbase is built on open standards, combining the best of NoSQL with the power and familiarity of SQL, to simplify the transition from mainframe and relational databases. Couchbase Server is a multipurpose, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON’s versatility, with a foundation that is extremely fast and scalable. It’s used across industries for things like user profiles, dynamic product catalogs, GenAI apps, vector search, high-speed caching, and much more. -
43
OpenAI
OpenAI
OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with only a few examples or by specifying your task in English. One simple integration gives you access to our constantly-improving AI technology. Explore how you integrate with the API with these sample completions. -
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GraphDB
Ontotext
*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle). -
45
NLP Cloud
NLP Cloud
Fast and accurate AI models suited for production. Highly-available inference API leveraging the most advanced NVIDIA GPUs. We selected the best open-source natural language processing (NLP) models from the community and deployed them for you. Fine-tune your own models - including GPT-J - or upload your in-house custom models, and deploy them easily to production. Upload or Train/Fine-Tune your own AI models - including GPT-J - from your dashboard, and use them straight away in production without worrying about deployment considerations like RAM usage, high-availability, scalability... You can upload and deploy as many models as you want to production.Starting Price: $29 per month -
46
Shaped
Shaped
The fastest path to relevant recommendations and search. Increase engagement, conversion, and revenue with a configurable system that adapts in real time. We help your users find what they're looking for by surfacing the products or content that are most relevant to them. We do this whilst taking into account your business objectives to ensure all sides of your platform or marketplace are being optimized fairly. Under the hood, Shaped is a real-time, 4-stage, recommendation system containing all the data and machine-learning infrastructure needed to understand your data and serve your discovery use-case at scale. Connect and deploy rapidly with direct integration to your existing data sources. Ingest and re-rank in real-time using behavioral signals. Fine-tune LLMs and neural ranking models for state-of-the-art performance. Build and experiment with ranking and retrieval components for any use case. -
47
Pinecone Rerank v0
Pinecone
Pinecone Rerank V0 is a cross-encoder model optimized for precision in reranking tasks, enhancing enterprise search and retrieval-augmented generation (RAG) systems. It processes queries and documents together to capture fine-grained relevance, assigning a relevance score from 0 to 1 for each query-document pair. The model's maximum context length is set to 512 tokens to preserve ranking quality. Evaluations on the BEIR benchmark demonstrated that Pinecone Rerank V0 achieved the highest average NDCG@10, outperforming other models on 6 out of 12 datasets. For instance, it showed up to a 60% boost on the Fever dataset compared to Google Semantic Ranker and over 40% on the Climate-Fever dataset relative to cohere-v3-multilingual or voyageai-rerank-2. The model is accessible through Pinecone Inference and is available to all users in public preview.Starting Price: $25 per month -
48
Command A Vision
Cohere AI
Command A Vision is Cohere’s multimodal AI solution built for enterprise use that combines image understanding with language capabilities to drive business outcomes while keeping compute costs low; it extends the Command family by adding vision comprehension, allowing organizations to interpret and act on visual content in concert with text, and integrates into workplace systems to surface insights, boost productivity, and enable more intelligent search and discovery. The offering is positioned alongside Cohere’s broader AI stack and emphasizes putting AI to work in real-world workflows, helping teams unify multimodal signals, extract actionable meaning from images and associated metadata, and surface relevant business intelligence without excessive infrastructure overhead. Command A Vision excels at understanding and analyzing a wide range of visual and multilingual data, including charts, graphs, tables, and diagrams. -
49
ZeroEntropy
ZeroEntropy
ZeroEntropy is a search and retrieval platform built to deliver faster, more accurate, human-level search experiences. It provides cutting-edge rerankers, embeddings, and hybrid retrieval models that go beyond traditional lexical and vector search. ZeroEntropy focuses on understanding context, nuance, and domain-specific meaning rather than just keywords. Its models consistently outperform leading alternatives on industry benchmarks. Developers can integrate ZeroEntropy quickly using a simple, production-ready API. The platform is optimized for low latency, high accuracy, and cost efficiency. ZeroEntropy enables teams to ship search systems that actually return the right answers. -
50
Vectara
Vectara
Vectara is LLM-powered search-as-a-service. The platform provides a complete ML search pipeline from extraction and indexing to retrieval, re-ranking and calibration. Every element of the platform is API-addressable. Developers can embed the most advanced NLP models for app and site search in minutes. Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more. Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding. Segment data into any number of indexes storing vector encodings optimized for low latency and high recall. Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models. Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results. Zero in on the true likelihoods that the retrieved response represents a probable answer to the query.Starting Price: Free
