Haystack
Open-source AI orchestration framework for pipelines, agents, retrieval, tools, and production RAG applications.
Best for
Deployment targets
Source boundary
Haystack documentation describes components, pipelines, agents, tools, and integrations for production AI applications.
| Source | Type | Verified | Citation |
|---|---|---|---|
| Haystack docs | docs | 2026-09-15 | Official documentation for Haystack components, pipelines, agents, and tools. |
| Haystack GitHub | github | 2026-09-15 | Public repository for the Haystack framework. |
Relationships
| Type | Source | Target | Confidence |
|---|
Compatibility
| Type | Target | Status | Evidence |
|---|---|---|---|
| runtime_deployment | serverless-container-runtime | supported | Haystack pipelines and agent workflows are suitable for server and container deployment patterns. |
What is the practical difference between LlamaIndex and Haystack?
LlamaIndex is a strong fit when data-connected agent workflows and document context are central. Haystack is a strong fit when production RAG pipelines and component composition are the dominant shape.
What makes a RAG workflow agent-ready?
A RAG workflow is agent-ready when retrieval context, source provenance, evaluation, deployment shape, and data access risk can be inspected from shared structured metadata.