An NLP Framework To Use Transformers In Your Applications

  • 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

Enabling Semantic Search

Question Answering

Ask questions in natural language and find granular answers in your documents using the latest QA models with the help of Haystack pipelines.

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Document Search

Perform semantic search and retrieve ranked documents according to meaning, not just keywords!

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Latest Models

Make use of and compare latest pre-trained transformer based language models like OpenAI’s GPT-3, BERT, RoBERTa, DPR and more.

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Latest Models

Latest Models

Pick any Transformer model from Hugging Face's Model Hub, experiment, find the one that works.

Flexible Document Store

Flexible Document Store

Use Haystack NLP components on top of Elasticsearch, OpenSearch, or plain SQL.

Vector Databases

Vector Databases

Boost search performance with Pinecone, Milvus, FAISS, or Weaviate vector databases, and dense passage retrieval.

Scalable

Scalable

Build semantic search and question answering applications that can scale to millions of documents.

End-to-end

End-to-end

Building blocks for the entire product development cycle such as file converters, indexing functions, models, labeling tools, domain adaptation modules, and REST API.

Pipelines

Pipelines

It's not one-size-fits-all! Combine nodes into flexible and scalable pipelines and launch powerful natural language processing systems.

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  • 149 Contributors
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