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Apply the latest NLP technology to your own data with the use of Haystack's pipeline architecture. Implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications. Evaluate components and fine-tune models. Ask questions in natural language and find granular answers in your documents using the latest QA models with the help of Haystack pipelines. Perform semantic search and retrieve ranked documents according to meaning, not just keywords! Make use of and compare the latest pre-trained transformer-based languages models like OpenAI’s GPT-3, BERT, RoBERTa, DPR, and more. Pick any Transformer model from Hugging Face's Model Hub, experiment, find the one that works. Use Haystack NLP components on top of Elasticsearch, OpenSearch, or plain SQL. Boost search performance with Pinecone, Milvus, FAISS, or Weaviate vector databases, and dense passage retrieval.
Features
- Build semantic search and question answering applications that can scale to millions of documents
- Building blocks for the entire product development cycle such as file converters, indexing functions, models, labeling tools, domain adaptation modules, and REST API
- Use Haystack NLP components on top of Elasticsearch, OpenSearch, or plain SQL
- Pick any Transformer model from Hugging Face's Model Hub, experiment, find the one that works
- Boost search performance with Pinecone, Milvus, FAISS, or Weaviate vector databases, and dense passage retrieval
- Combine nodes into flexible and scalable pipelines and launch powerful natural language processing systems
Project Samples
