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.