Haystack vs LangGraph
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Haystack if you want open-source python framework for production rag, search, and agents (Supervised agent, freemium); choose LangGraph if you want low-level framework for stateful, durable, graph-based llm agents (Supervised agent, freemium).
| Haystack | LangGraph | |
|---|---|---|
| What it is | Open-source Python framework for production RAG, search, and agents | Low-level framework for stateful, durable, graph-based LLM agents |
| Type | framework | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium | freemium · Framework free (MIT); LangGraph Platform via LangSmith (free Developer tier) |
| Best for | developers, enterprise | developers, enterprise, mid-market |
| Deployment | self-hosted, api | self-hosted, api, saas |
| Modalities | text, code, api, image | text, code, api |
| Models | model-agnostic, open-source | model-agnostic, gpt, claude, gemini, open-source |
| Protocols | function-calling, mcp, rest-api | function-calling, mcp, rest-api |
| Integrations | OpenAI, Anthropic, Hugging Face, Ollama, Qdrant, Weaviate | OpenAI, Anthropic, Google, AWS Bedrock, LangSmith |
| Capabilities | 4 documented | 4 documented |
Haystack
- +Mature, explicit, production-oriented architecture with deep RAG and search heritage
- +Broad integrations and an Apache-2.0 license, free to self-host
- +Backed by an established vendor (deepset) with an enterprise tier
- -Python-only
- -The component and pipeline model has a learning curve versus lighter agent SDKs
LangGraph
- +Explicit graph model makes complex agent control flow (loops, branching, multi-agent routing) inspectable and controllable
- +Production-grade primitives: durable execution, checkpointing/time-travel, and first-class human-in-the-loop interrupts
- +Open source and model-agnostic, with a hosted LangGraph Platform and LangSmith observability for deployment
- -Lower-level and more verbose than higher-level agent libraries; a steeper learning curve
- -Framework, not a product: autonomy and quality depend entirely on what the developer builds
Which should you choose?
Haystack is open-source python framework for production rag, search, and agents, best for developers, enterprise. LangGraph is low-level framework for stateful, durable, graph-based llm agents, best for developers, enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.
This comparison is generated from the sourced Haystack and LangGraph profiles. Open either profile to review its evidence and last-reviewed date.