AI Research & RAGEditorially verified
Haystack
deepset-ai/haystack
Python framework for composing retrieval, search, and LLM application pipelines.
A modular framework for RAG, semantic search, agents, and multimodal LLM applications. The README documents Python installation and configurable pipelines. The framework can be self-hosted; model and data connectors may require external credentials or paid services depending on configuration.
GitHub stars
26,920
Forks
3,387
Open issues
218
Primary language
Python
Repository details
- License
- Apache License 2.0Apache-2.0
- Default branch
- main
- Last commit
- Nov 3, 2026
- Repository updated
- Nov 3, 2026
- Last metadata check
- 2026-11-03
- Setup difficulty
- intermediate
- Self-hosting
- Self-hostable
- GPU
- Not required
- API key
- Not required
- Paid service
- Not required for documented default
Categories & platforms
AI Research & RAGLocal AI & LLMs
Supported platforms
Python · Docker
Topics
RAGpipelinesagentsPythonApache-2.0
Editorial notes
Public, active and unarchived. GitHub reports Apache-2.0. README confirms the claimed RAG/pipeline purpose. External model, vector-store, and data providers are optional and may charge separately.
View license on GitHub