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@deepset-ai

deepset

Building enterprise search systems powered by latest NLP & open-source.

 

deepset is the company behind Haystack, an open source AI framework to help you build production ready 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 provides the tools to implement composable AI systems that are easy to use, customize, extend, optimise, evaluate and ultimately deploy to production.

For more info on Haystack, visit our Documentation. You can also join us on Discord

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  1. haystack haystack Public

    AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…

    Python 20.9k 2.2k

  2. haystack-tutorials haystack-tutorials Public

    Here you can find all the Tutorials for Haystack 📓

    Jupyter Notebook 324 107

  3. haystack-integrations haystack-integrations Public

    🚀 A list of Haystack Integrations, maintained by the community or deepset.

    88 89

  4. haystack-core-integrations haystack-core-integrations Public

    Additional packages (components, document stores and the likes) to extend the capabilities of Haystack

    Python 151 163

  5. haystack-cookbook haystack-cookbook Public

    👩🏻‍🍳 A collection of example notebooks using Haystack

    Jupyter Notebook 475 92

  6. haystack-experimental haystack-experimental Public

    🧪 Experimental features for Haystack

    Python 45 16

Repositories

Showing 10 of 69 repositories
  • haystack-core-integrations Public

    Additional packages (components, document stores and the likes) to extend the capabilities of Haystack

    deepset-ai/haystack-core-integrations’s past year of commit activity
    Python 151 Apache-2.0 163 91 13 Updated May 28, 2025
  • haystack Public

    AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

    deepset-ai/haystack’s past year of commit activity
    Python 20,932 Apache-2.0 2,188 112 8 Updated May 28, 2025
  • deepset-cloud-sdk Public

    A Python SDK to interact with deepset Cloud

    deepset-ai/deepset-cloud-sdk’s past year of commit activity
    Python 12 Apache-2.0 2 16 (1 issue needs help) 1 Updated May 28, 2025
  • haystack-integrations Public

    🚀 A list of Haystack Integrations, maintained by the community or deepset.

    deepset-ai/haystack-integrations’s past year of commit activity
    88 89 0 2 Updated May 28, 2025
  • haystack-cookbook Public

    👩🏻‍🍳 A collection of example notebooks using Haystack

    deepset-ai/haystack-cookbook’s past year of commit activity
    Jupyter Notebook 475 92 5 5 Updated May 28, 2025
  • haystack-home Public

    Website for Haystack, the open source LLM framework

    deepset-ai/haystack-home’s past year of commit activity
    HTML 17 Apache-2.0 11 4 0 Updated May 26, 2025
  • hayhooks Public

    Easily deploy Haystack pipelines as REST APIs and MCP Tools.

    deepset-ai/hayhooks’s past year of commit activity
    Python 82 Apache-2.0 21 11 2 Updated May 23, 2025
  • haystack-experimental Public

    🧪 Experimental features for Haystack

    deepset-ai/haystack-experimental’s past year of commit activity
    Python 45 Apache-2.0 16 7 3 Updated May 23, 2025
  • github-agent Public

    GitHub Issue Resolver Agent with Anthropic Claude 3.7 Sonnet and Haystack

    deepset-ai/github-agent’s past year of commit activity
    Python 8 Apache-2.0 0 0 0 Updated May 23, 2025
  • haystack-tutorials Public

    Here you can find all the Tutorials for Haystack 📓

    deepset-ai/haystack-tutorials’s past year of commit activity
    Jupyter Notebook 324 Apache-2.0 107 4 1 Updated May 21, 2025

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