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:mag: LLM 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.

Home Page: https://haystack.deepset.ai

License: Apache License 2.0

Python 94.87% HTML 4.83% HCL 0.03% Jinja 0.27%

haystack's Introduction

Hi there ๐Ÿ‘‹

I am Stefano, a passionate NLP Engineer, Craftsman, and Explorer ๐Ÿงญ.

Contributing to Haystack, the LLM orchestration Framework.

LinkedIn Stack Overflow Website


About Me โœจ

๐Ÿ’ซ Structural Engineer turned Software Engineer with a passion for exploring the realms of Machine Learning and Natural Language Processing.

๐Ÿ” Formerly at 01S for 5 years, I specialized in information extraction and retrieval from unstructured documents, making valuable information accessible to Italian citizens.

๐Ÿ’™ Currently, I am proud to be part of deepset, contributing to Haystack, the open-source LLM Framework ๐Ÿ—๏ธ. I enjoy engaging with a vibrant community of users and contributors.

In my spare time:

  • I often take meditative walks ๐Ÿšถ
  • I dedicate myself to social volunteering โญ
  • I am part of a theatre group, I read, I watch films... ๐ŸŽจ

Recent content ๐Ÿงช๐Ÿ“š๐ŸŽฎ

Explore my content collection ๐Ÿงฉ๐Ÿงฉ๐Ÿงฉ

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haystack's People

Contributors

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