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deepset-ai / haystack

:mag: 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.
https://haystack.deepset.ai
Apache License 2.0
17.63k stars 1.91k forks source link

Simplify installation of Haystack #3760

Closed julian-risch closed 1 year ago

julian-risch commented 1 year ago

Problem Statement As a software developer lacking strong NLP skills, I want to make some (small) NLP application, without spending a lot of time on dependency conflicts and switching OSes.

User Tasks

Existing Work

### Tasks
- [ ] https://github.com/deepset-ai/haystack/issues/4417
mayankjobanputra commented 1 year ago

Maybe this discussion will also help eventually: https://github.com/deepset-ai/haystack/discussions/3750

ZanSara commented 1 year ago

Closing as completed! 🎉

Optional dependencies management has improved drastically and the core dependency list has shrunk significantly in Haystack 1.18. Work will continue into making the installation as simple as possible, including extra features like much smaller Docker images, pure Python wheels for PyScript, etc