📚Haystack
deepset-ai/haystack · homepage ↗
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
⭐ Very popular: 26k stars, gaining about 64 a week
View on GitHub ↗repo profile
momentum
durability
bus factor = how many people it takes to cover more than half the commits (6 months). 1 is a solo project; higher means the work is spread across a team. top-author share is the single busiest author's slice of those commits.
since we covered it
why it's a big deal
- Enables modular construction of NLP systems so users can pick and choose (or swap out) components: embedding models, retrievers, LLMs.
- Supports both scale and flexibility: millions of docs, multiple file types, a variety of vector DBs and LLM sources.
- Bridging research & production: has strong dev tooling, production-ready deployment options (REST API endpoints, versioning, etc.), enterprise features.
under the hood
- Written mainly in Python; integrates with a wide range of embedding models (OpenAI, Hugging Face, etc.), vector databases, and file converters.
- Provides transparent, extensible pipelines so users can build custom components or replace existing ones.
- Can be installed via pip (or Docker), comes with examples, docs, deployment options (e.g. via REST with “Hayhooks”).
our take from PR#17, 2025-09-17
star history
- PR#17 23k 2025-09-17
- now 26k + 4k since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Deep in the understory, shipping hard, still flying under the radar.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
-
AI Orchestration Framework for LLM Applications
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