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  2. Haystack is an open source framework for building production-ready LLM applications, retrieval-augmented generative pipelines and state-of-the-art search systems that work intelligently over large document collections.

  3. Architect a next generation AI app around all modalities, not just text. Haystack can do tasks like image generation, image captioning and audio transcription too. All of our generators provide a standardized chat interface so that you can focus on building the perfect bot for your users.

  4. Haystack is an open-source framework for building production-ready LLM applications, retrieval-augmented generative pipelines and state-of-the-art search systems that work intelligently over large document collections. Learn more about Haystack and how it works.

  5. Mar 11, 2024 · At its core, Haystack 2.0 is a major rework of the previous version with a very clear goal in mind: making it possible to implement composable AI systems that are easy to use, customize, extend, optimise, evaluate and ultimately deploy to production.

  6. Haystack is an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform retrieval-augmented generation (RAG), document search, question answering or answer generation, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines ...

  7. Feb 2, 2022 · Haystack, made by deepset, is an open-source NLP framework that leverages Transformer models, designed to be the bridge between research and industry on neural search, question answering,...

  8. Use Haystack NLP components on top of Elasticsearch, OpenSearch, or plain SQL. Vector Databases. Boost search performance with Pinecone, Milvus, FAISS, or Weaviate vector databases, and dense passage retrieval. Scalable. Build semantic search and question answering applications that can scale to millions of documents. End-to-end.

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