By deepset-ai
haystack
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.
Filed under RAG Frameworks. Status: Published
- Stars
- 25.3k
- Forks
- 2.8k
- Open issues
- 107
- Last commit
- 14d ago
- Stats refreshed
- Refreshed May 19, 2026
On the maker
Use cases
- Semantic SearchTools that enable similarity or embedding-based search over text or code corpora.
Pricing
Open-source
Field notes
No field notes yet.
Field notes for haystack will land here when sources support a confident take ; synthesized from postmortems, vendor retros, dev-team blogs, deeply-engaged GitHub issues, and our own builds.
Coverage isn’t promised on every tool ; empty sections are honest. Field notes are curated, not generated from vendor copy.
Benchmarks
Scores aren’t in yet.
We’re wiring up SWE-bench, Aider Polyglot, and a custom dev-task suite next. Methodology will be public; vendor pre-notification is 48 hours.
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