Alternatives to Vectara
Compare Vectara alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Vectara in 2025. Compare features, ratings, user reviews, pricing, and more from Vectara competitors and alternatives in order to make an informed decision for your business.
-
1
AddSearch
AddSearch
AddSearch goes beyond traditional site search with AI Answers and AI Conversations, enabling businesses to deliver direct, conversational, and context-aware responses. Combined with lightning-fast search and smart recommendations, AddSearch helps organizations create personalized, engaging digital experiences across websites, e-commerce, and applications. Trusted by nearly 2,000 global customers in Media, Telecommunications, Government, Education, and more. AddSearch offers enterprise-grade features including advanced GenAI capabilities, personalization, advanced analytics, and SLA up to 99.999%. It works with any CMS, supports crawler or API-based indexing, and provides full setup services to save developer time. Built to deliver powerful search with AI Answers and Conversations that elevate digital experiences for website visitors—without adding complexity. -
2
Algolia
Algolia
Algolia is a search and discovery API platform for building powerful and composable experiences while solving for relevance with AI and configurable rules. Algolia Search enables our customers to design and implement unique search experiences using the design language of their choice. Algolia Recommend is a robust API that allows you to add “frequently bought together” and “related items” into any digital experience with as little as 6 lines of code.Starting Price: $0 -
3
SearchStax
SearchStax
SearchStax offers end-to-end search solutions for better search with site search on the frontend and hosted Solr infrastructure on the backend. We have over 700 customers in 20+ countries. Site Search for Websites Made Easy SearchStax Site Search delivers advanced, modern and personalized site search for your website or custom application: • Best-In-Class search experience • Actionable search insights for managers and executives • Self-service tools for the marketing team that don’t need developers to update and optimize the search experience • Quick Implementation for developers Fully-Managed Solr Service in the Cloud SearchStax Managed Search is a fully-managed, hosted Solr service that automates, manages and scales high-availability Solr infrastructure in public or private clouds: • Build faster and spend more time on value-added tasks • Scale faster through automation • Reduce costs through lower incidents and SLAStarting Price: $37/month -
4
Qdrant
Qdrant
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively utilise ready-made client for Python or other programming languages with additional functionality. Implement a unique custom modification of the HNSW algorithm for Approximate Nearest Neighbor Search. Search with a State-of-the-Art speed and apply search filters without compromising on results. Support additional payload associated with vectors. Not only stores payload but also allows filter results based on payload values. -
5
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 -
6
Luigi's Box
Luigi's Box
Luigi's Box is a search and discovery solution designed specifically for e-commerce websites to improve the customer experience and achieve desired revenue. Search Recommender Product Listing Shopping Assistant Analytics Through years of operation, Luigi's Box earned several awards. Our advanced features helped companies such as Under Armour, Nespresso and Notino to successfully increase search usage and conversions. Luigi's Box is easy to use and has a user-friendly interface, making it suitable for businesses of all sizes and kinds. We understand that e-commerce businesses have unique needs, and a good product discovery solution should offer a range of advanced features to allow them to tailor the search experience to their specific needs. Luigi's Box offers a quick and easy integration that doesn’t require deep technical knowledge. You need to just paste the tracking script into the header of your web. We also offer various types of implementation to choose from.Starting Price: See our Pricing -
7
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 -
8
Nuclia
Nuclia
The AI search engine delivers the right answers from your text, documents and video. Get 100% out-of-the-box AI search and generative answers from your documents, texts, and videos while keeping your data privacy intact. Nuclia automatically indexes your unstructured data from any internal and external source, providing optimized search results and generative answers. It can handle video and audio transcription, image content extraction, and document parsing. Allow your users to search your data not only by keywords but also using natural language, in almost any language, and get the right answers. Effortlessly generate AI search results and answers from any data source. Use our low-code web component to integrate Nuclia’s AI-powered search in any application or use our open SDK to create your own front-end. Integrate Nuclia in your application in less than a minute. Choose the way to upload data to Nuclia from any source, in any language, in almost any format. -
9
INTERGATOR
interface projects
Access countless systems and corporate documents, regardless of platform, and keep track of millions of pieces of data. State-of-the-art neural search techniques combined with enterprise search functionality and numerous standard connectors enable a completely new search experience. INTERGATOR Cloud can be hosted by a German hoster and thus comply with the strict requirements of German and European law (especially data protection). We grow with your requirements. INTERGATOR Cloud can easily be scaled whenever you need more or less search. Search your company data from anywhere in the world and get information without complex VPN solutions. With the help of Natural Language Processing (NLP) and neural networks, models are trained that extract essential information from data and documents and consider the information stock in its entirety. You receive a comprehensive solution for up-to-date information and knowledge management. -
10
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. -
11
Zevi
Zevi
Zevi is a site search engine that leverages natural language processing (NLP) and machine learning (ML) to better understand the search intent of users. Instead of relying on keywords to produce the most relevant search results, Zevi relies on its ML models, which have been trained on vast amounts of multilingual data. As a result, Zevi can deliver extremely relevant results regardless of the search query used, thus providing users with an intuitive search experience that minimizes their cognitive load. In addition, Zevi allows website owners to provide personalized results, promote particular search results based on various criteria, and to use search data to make informed business decisions.Starting Price: $29 per month -
12
TILDE
ielab
TILDE (Term Independent Likelihood moDEl) is a passage re-ranking and expansion framework built on BERT, designed to enhance retrieval performance by combining sparse term matching with deep contextual representations. The original TILDE model pre-computes term weights across the entire BERT vocabulary, which can lead to large index sizes. To address this, TILDEv2 introduces a more efficient approach by computing term weights only for terms present in expanded passages, resulting in indexes that are 99% smaller than those of the original TILDE. This efficiency is achieved by leveraging TILDE as a passage expansion model, where passages are expanded using top-k terms (e.g., top 200) to enrich their content. It provides scripts for indexing collections, re-ranking BM25 results, and training models using datasets like MS MARCO. -
13
ColBERT
Future Data Systems
ColBERT is a fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds. It relies on fine-grained contextual late interaction: it encodes each passage into a matrix of token-level embeddings. At search time, it embeds every query into another matrix and efficiently finds passages that contextually match the query using scalable vector-similarity (MaxSim) operators. These rich interactions allow ColBERT to surpass the quality of single-vector representation models while scaling efficiently to large corpora. The toolkit includes components for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. ColBERT integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts.Starting Price: Free -
14
Mixedbread
Mixedbread
Mixedbread is a fully-managed AI search engine that allows users to build production-ready AI search and Retrieval-Augmented Generation (RAG) applications. It offers a complete AI search stack, including vector stores, embedding and reranking models, and document parsing. Users can transform raw data into intelligent search experiences that power AI agents, chatbots, and knowledge systems without the complexity. It integrates with tools like Google Drive, SharePoint, Notion, and Slack. Its vector stores enable users to build production search engines in minutes, supporting over 100 languages. Mixedbread's embedding and reranking models have achieved over 50 million downloads and outperform OpenAI in semantic search and RAG tasks while remaining open-source and cost-effective. The document parser extracts text, tables, and layouts from PDFs, images, and complex documents, providing clean, AI-ready content without manual preprocessing. -
15
Sinequa
Sinequa
Sinequa provides intelligent enterprise search connecting workers in the digital workplace with the information, expertise and insights they need to do their jobs. It handles vast and heterogeneous data volumes, offering security and compliance even in the most complex environments. Enabling employees to get relevant information & insights speeds up innovation and optimizes responsiveness to customers. Organizations powered by intelligent search enable people to do their jobs better, resulting in significant cost savings. Delivering insights to employees within the context of their work provides the transparency and speed needed to comply with regulations on a timely basis and mitigate financial and reputational risk. Sinequa’s Neural Search provides the most sophisticated engine for discovering enterprise information assets available on the market today. -
16
Hebbia
Hebbia
The end to end platform for research. Instantly retrieve and wrangle the insights you need, no matter your source of unstructured data. Uncover answers across millions of public sources, like SEC Filings, Earnings Calls, and expert network transcripts, or leverage your firm's knowledge. Hebbia instantly hooks into any source of unstructured data in your organization, ingesting any file type or API. Tooling for diligence and research processes lets you work faster, no matter the task. Spread financials, find public comps, or structure unstructured data with the a single button click. The world's largest governments and financial institutions trust Hebbia with their most sensitive data. Security is at our core. Hebbia is the first and only encrypted search engine on the market. -
17
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. -
18
Searchify
Searchify
Easily add custom full-text search, without the cost or complexity of managing search servers. Searchify is built for the needs of modern web sites where content is rapidly changing. With Searchify, your index gets updated instantly. Our search engine is optimized to update relevance factors frequently with zero fragmentation penalty. Use locations, votes, ratings or comment counts to improve the quality of your search results. These factors can be used to boost relevant documents and to restrict the results to a radius of a geographic location. Use the service with open-source libraries for several platforms. Clients are available for Ruby, Python, PHP and Java. The community also contributes several alternatives to these and other languages. Besides, our REST API is super simple so you can develop your own client with very little effort. In Searchify, results ordering is defined by a custom sorting algorithm that is expressed in a formula.Starting Price: $59.00/month -
19
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 -
20
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 -
21
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. -
22
MonoQwen-Vision
LightOn
MonoQwen2-VL-v0.1 is the first visual document reranker designed to enhance the quality of retrieved visual documents in Retrieval-Augmented Generation (RAG) pipelines. Traditional RAG approaches rely on converting documents into text using Optical Character Recognition (OCR), which can be time-consuming and may result in loss of information, especially for non-textual elements like graphs and tables. MonoQwen2-VL-v0.1 addresses these limitations by leveraging Visual Language Models (VLMs) that process images directly, eliminating the need for OCR and preserving the integrity of visual content. This reranker operates in a two-stage pipeline, initially, it uses separate encoding to generate a pool of candidate documents, followed by a cross-encoding model that reranks these candidates based on their relevance to the query. By training a Low-Rank Adaptation (LoRA) on top of the Qwen2-VL-2B-Instruct model, MonoQwen2-VL-v0.1 achieves high performance without significant memory overhead. -
23
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. -
24
AI-Q NVIDIA Blueprint
NVIDIA
Create AI agents that reason, plan, reflect, and refine to produce high-quality reports based on source materials of your choice. An AI research agent, informed by many data sources, can synthesize hours of research in minutes. The AI-Q NVIDIA Blueprint enables developers to build AI agents that use reasoning and connect to many data sources and tools to distill in-depth source materials with efficiency and precision. Using AI-Q, agents summarize large data sets, generating tokens 5x faster and ingesting petabyte-scale data 15x faster with better semantic accuracy. Multimodal PDF data extraction and retrieval with NVIDIA NeMo Retriever, 15x faster ingestion of enterprise data, 3x lower retrieval latency, multilingual and cross-lingual, reranking to further improve accuracy, and GPU-accelerated index creation and search. -
25
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 -
26
Bing Custom Search
Microsoft
An easy-to-use, ad-free, commercial-grade search tool that lets you deliver the results you want. Build a customized search that fits your needs. The Bing Custom Search API gives you powerful ranking, a global-scale search index, and document processing with fast, simple setup. The core technology works in four steps—by identifying on-topic sites and images, providing automatic query suggestions, applying the Bing ranker, and delivering relevant search results. Adjust the parameters and access usage insights anytime. Define the parts of the web you want to draw from so users only see relevant results from the domains, subsites, and web pages you choose. Explore site suggestions to expand the scope of your search domain. And harness the full power of Bing’s global-scale search index to get a holistic view of searches and ranking. Create a compelling search experience for content, such as web pages, images, and even autosuggested words.Starting Price: $4 per 1,000 transactions -
27
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 -
28
Jina Search
Jina AI
With Jina Search, you can search for anything in seconds - faster and more accurately than any traditional search engine. Our AI search captures all the information stored in images and text, providing you with the most comprehensive results. Unlock the power of search and revolutionize the way you find what you're looking for with Jina Search. In this example, not all items on the dataset had the correct label, making it impossible for Classical Search to retrieve relevant results. Since Jina Search doesn't rely on tags, was successful on finding better items. Take full advantage of using state-of-the-art ML models that are optimized to work with multiple modalities of data, such as images and text while maintaining all your Elasticsearch customization. This means you don’t need to annotate each image in your dataset with labels, Jina Search will automatically understand the image and store it accordingly. -
29
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 -
30
Sphinx
Sphinx
Sphinx is an open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind. It's written in C++ and works on Linux (RedHat, Ubuntu, etc), Windows, MacOS, Solaris, FreeBSD, and a few other systems. Sphinx lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily, or index and search data on the fly, working with Sphinx pretty much as with a database server. A variety of text processing features enable fine-tuning Sphinx for your particular application requirements, and a number of relevance functions ensures you can tweak search quality as well. Searching via SphinxAPI is as simple as 3 lines of code, and querying via SphinxQL is even simpler, with search queries expressed in good old SQL. Sphinx indexes up to 10-15 MB of text per second per single CPU core, that is 60+ MB/sec per server (on a dedicated indexing machine). -
31
RankLLM
Castorini
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.Starting Price: Free -
32
Amazon CloudSearch
Amazon
Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application. Amazon CloudSearch supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search. With Amazon CloudSearch, you can quickly add rich search capabilities to your website or application. You don't need to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index. You can easily change your search parameters, fine tune search relevance, and apply new settings at any time. As your volume of data and traffic fluctuates, Amazon CloudSearch seamlessly scales to meet your needs. -
33
Keyspider
Keyspider
Keyspider provides accurate search results with a cloud-based enterprise search engine. With Keyspider you can build your very own customized website search without the additional time or cost. Keyspider understands the customer’s requirements and delivers the right results to their search queries. The solution for websites to pave the way for better search experiences and improved conversions. It intends to redefine how customers navigate through customers' websites with a search-as-a-service that leaves no stone unturned. Increase relevance across mediums with tailored search. No coding: Create a new page with search capabilities after installing the Keyspider Search. Works with your site's existing style guide. Cloud-based: All of your documents are securely stored, backed up, and searchable in the cloud. Based on your crawler Automatic/Manual crawler settings content would be updated in the keyspider search engine. Read more keyspider's features in our website.Starting Price: $19/month -
34
Help people find what they need on your website. Add a customizable search box to your web pages and show fast, relevant results powered by Google Search. Because it’s powered by Google’s core search technology that’s constantly improving, you always get fast, relevant results. You program your search engine, so you decide what content it searches and how it looks. Integrate your search engine on your website quickly. Decide if you want users to search only your website, or include other sites on the web. Choose from several pre-built themes, or design your own search results page from scratch. Pay nothing — and even earn revenue — by showing relevant ads with AdSense, or pay a low price for an ad-free experience.
-
35
Search.io
Search.io
Search.io is re-engineering search to give all developers the tools to create intelligent search applications in hours, not months. With machine-learning at its core, Search.io automatically optimizes search results based on customer and business data. In a few lines of configuration code, developers can implement advanced capabilities, like A/B testing, reinforcement learning, and Bayes classification, that would take months to implement otherwise. Search.io enables thousands of businesses worldwide to provide highly-intelligent search experiences on their websites, stores, and applications.Starting Price: $0.00 per month -
36
Mindbreeze InSpire
Mindbreeze
Mindbreeze notes and homes in on the type of information you find most useful, learns to search intelligently, and quickly recognizes content that other systems miss. Data is brought together from a wide variety of sources to provide employees or customers with a 360-degree view of the topics or customers relevant to them. Mindbreeze automatically makes data available across all application, department, and company boundaries. Mindbreeze InSpire finds all information about your company, such as e-mail addresses, telephone numbers, and contact persons. Experts from different fields as well as their contact information are clearly displayed. All documents, including their latest revisions, are quickly found and displayed using the preview function. With the 360-degree customer search app, the user is able to see and interact with a 360-degree view of one account by indexing multiple structured data sources such as SAP. -
37
Swiftype
Swiftype
Swiftype Site Search offers businesses and their audience a flexible and fast site search experience. With Swiftype Site Search, businesses can add a search feature to their website to help customers, readers and followers find highly relevant results. The solution can be adapted to a business' specific needs--whether it's an online store looking to increase conversion rates or an online publication seeking to boost engagement.Starting Price: $299.00/month -
38
Apache Solr
Apache Software Foundation
Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites. Solr enables powerful matching capabilities including phrases, wildcards, joins, grouping and much more across any data type. Solr is proven at extremely large scales the world over. Solr uses the tools you use to make application building a snap. Solr ships with a built-in, responsive administrative user interface to make it easy to control your Solr instances. Need more insight into your instances? Solr publishes loads of metric data via JMX. Built on the battle-tested Apache Zookeeper, Solr makes it easy to scale up and down. Solr bakes in replication, distribution, rebalancing and fault tolerance out of the box. -
39
RealDecoy
RealDecoy
Trust a technologically agnostic service provider to find the best solution for your business. RealDecoy maximizes your digital commerce ROI with site search services proven to increase revenue and lower costs. Increase conversions, average order values, and customer loyalty, no matter which screen. Manage complex data sources and search taxonomies, multiple languages, and currencies. Reduce operational expenses and the cost to serve customers. Find opportunities for merchandizing, cross-selling, and up-selling. Personalize search results so customers see only what is relevant. Personalize your customers’ site search experience so visitors find the products they’re looking for, discover products they didn’t know they needed, and return to purchase more often. Assessing commercial and open source technology options. Recommending the best fit to meet business and technical requirements that drive the most ROI. -
40
Lucidworks Fusion
Lucidworks
Fusion transforms your siloed data into personalized insights unique to each user. Lucidworks Fusion lets customers easily deploy AI-powered data discovery and search applications in a modern, containerized, cloud-native architecture. Data scientists interact with those applications by leveraging existing machine learning models and workflows. Or they can quickly create and deploy new models using popular tools like Python ML, TensorFlow, scikit-learn, and spaCy. Reduce the effort and risk of managing deployments of Fusion in the cloud. Lucidworks has modernized Fusion with a cloud-native microservices architecture orchestrated by Kubernetes. Fusion allows customers to dynamically manage application resources as utilization ebbs and flows, reduce the effort of deploying and upgrading Fusion, and avoid unscheduled downtime and performance degradation. Fusion includes native support for Python machine learning models. Plug your custom ML models into Fusion. -
41
Amazon Kendra
Amazon
Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra delivers powerful natural language search capabilities to your websites and applications so your end users can more easily find the information they need within the vast amount of content spread across your company. Use natural language questions instead of just simple keywords to get the answers you’re looking for, whether that is a precise answer, an FAQ, or an entire document. Say goodbye to sifting through long lists of links and hoping one has the information you need. Get rid of information silos. Kendra lets you easily add content from file systems, SharePoint, intranet sites, file sharing services, and more, into a centralized location so you can quickly search all of your information to find the best answer. Your results get better over time search, because Kendra’s machine learning algorithms learn which results your users find most valuable.Starting Price: $2.50 per hour -
42
Coveo
Coveo
360° relevance across Websites, Ecommerce, Service, and the Workplace. Every search, recommendation, and interaction made it better. We help businesses deliver the relevant experiences people expect. With the Coveo Relevance Cloud, relevant search is just the beginning. Harness self-optimizing AI that learns from every click and query, at every touchpoint. So you can deliver experiences that get better and better, notice search relevance from Day 1, and scale to full 360° Relevance. Every click and query tells you what a customer wants. Serve up relevant product results, and tailored product and content recommendations, that they’ll want to 'add to cart. Connect each customer to the most relevant answers faster, with AI-powered customer self-service and AI-assisted agent responses. Coveo scores high marks for how we make things work, from drag-and-drop UI customizations to headless APIs and more. -
43
Vald
Vald
Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. Usually the graph requires locking during indexing, which cause stop-the-world. But Vald uses distributed index graph so it continues to work during indexing. Vald implements its own highly customizable Ingress/Egress filter. Which can be configured to fit the gRPC interface. Horizontal scalable on memory and cpu for your demand. Vald supports to auto backup feature using Object Storage or Persistent Volume which enables disaster recovery.Starting Price: Free -
44
Voyage AI
Voyage AI
Voyage AI delivers state-of-the-art embedding and reranking models that supercharge intelligent retrieval for enterprises, driving forward retrieval-augmented generation and reliable LLM applications. Available through all major clouds and data platforms. SaaS and customer tenant deployment (in-VPC). Our solutions are designed to optimize the way businesses access and utilize information, making retrieval faster, more accurate, and scalable. Built by academic experts from Stanford, MIT, and UC Berkeley, alongside industry professionals from Google, Meta, Uber, and other leading companies, our team develops transformative AI solutions tailored to enterprise needs. We are committed to pushing the boundaries of AI innovation and delivering impactful technologies for businesses. Contact us for custom or on-premise deployments as well as model licensing. Easy to get started, pay as you go, with consumption-based pricing. -
45
RankGPT
Weiwei Sun
RankGPT is a Python toolkit designed to explore the use of generative Large Language Models (LLMs) like ChatGPT and GPT-4 for relevance ranking in Information Retrieval (IR). It introduces methods such as instructional permutation generation and a sliding window strategy to enable LLMs to effectively rerank documents. It supports various LLMs, including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 via LiteLLM. RankGPT provides modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. It includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs. RankGPT's Model Zoo includes models like LiT5 and MonoT5, hosted on Hugging Face.Starting Price: Free -
46
Vespa
Vespa.ai
Vespa is forBig Data + AI, online. At any scale, with unbeatable performance. To build production-worthy online applications that combine data and AI, you need more than point solutions: You need a platform that integrates data and compute to achieve true scalability and availability - and which does this without limiting your freedom to innovate. Only Vespa does this. Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Users can easily build recommendation applications on Vespa. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real-time. Together with Vespa's proven scaling and high availability, this empowers you to create production-ready search applications at any scale and with any combination of features.Starting Price: Free -
47
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. -
48
Prefixbox
Prefixbox
Prefixbox’s AI Search, AI Navigation, AI Recommend and Insights solutions improve the shopping experience for increased conversion rate and revenue. Prefixbox 𝗔𝗜 𝗦𝗲𝗮𝗿𝗰𝗵 uses the latest search technology to understand meaning. By combining vector, large language models (LLMs) and GPT technology, it can extract the intent behind a general sentence in order to return relevant product results. Prefixbox 𝗔𝗜 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗼𝗻's Related Products, Related Keywords and Related Categories modules increase engagement and help shoppers refine their search intent with just 1 click. Prefixbox 𝗔𝗜 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱 inspires shoppers to explore your catalog with relevant recommendations that boost average order value. Prefixbox 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 can optimize your solution with insightful metrics, frequent A/B tests, and personalized search expert support.Starting Price: 389$ -
49
SoloSegment SearchBox
SoloSegment
Site search that converts with SearchBox B2B site searchers who find what they’re looking for convert 94% more often than other navigators. Don’t turn away your most valuable customers.Starting Price: $1,500/month -
50
Cludo
Cludo
Cludo: Smarter Site Search for Modern Digital Experiences Cludo helps public organizations create smarter, more accessible digital experiences through intelligent, customizable site search and AI. Our AI-powered tools, including AI Summaries and AI Chat, connect visitors with the information they need — fast, accurately, and effortlessly. We make it easy to build tailored search solutions, improve user satisfaction, and reduce support demand — all with actionable insights at your fingertips.
