haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Haystack is an open-source AI orchestration framework for building scalable AI applications, including agents, RAG systems, and conversational systems, with explicit control over retrieval, routing, memory, and generaton
Good fit when
- When you need explicit control over retrieval, routing, memory, and generation processes in your AI applications
- For building scalable agents, RAG systems, multimodal applications, semantic search, and conversational systems
Avoid when
- If you require a framework that integrates tightly with a specific set of pre-defined models and does not offer the flexibility to customize retrieval and generation processes
- When your project does not require the scalability and explicit control over AI processes that Haystack provides, and a simpler, more streamlined solution is preferred
- Requirements:
- Requires Docker; Supports multiple installation methods, including Docker images
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No criticals
- As of Sep 18, 2026
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Install
pip install haystack PyPIHow it fits your stack(24)
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Evidence and technical details
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Overview
Haystack is an open-source framework designed for building scalable AI applications, including agents, RAG systems, and conversational systems. It supports modular pipeline design and explicit control over retrieval, routing, memory, and generation processes.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
pip install haystack-aiSource link
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README
Installation The simplest way to get Haystack is via pip: Install nightly pre releases to try the newest features: Haystack supports multiple installation methods, including Docker images. For a comprehensive guide, please refer to the documentation.
For agents
This page has a .md twin and JSON over the API.