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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

Budget

Use case

Stage

Cluster

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools competes with
Haystack
vs
LangChain

Choose Haystack when…

  • •You're building search-first or RAG pipelines in Python
  • •Deepset's enterprise search DNA fits your use case
  • •You need flexible document processing pipelines

Choose LangChain when…

  • •You want a broad, flexible LLM orchestration toolkit
  • •You need integrations with many tools and data sources
  • •You're prototyping or exploring LLM app patterns
Field
Haystack
LangChain
Category
Pipelines & RAG
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
deepset Cloud: Custom
—
Stars
⭐ 18,000
⭐ 93,000
Health
●85 — Active
●85 — Active
Trajectory
— not enough data
— not enough data
Synced
7 days ago
today

Haystack

deepset's open-source framework for building production NLP and LLM pipelines. Strong focus on RAG, search, and document AI use cases.

LangChain

Most widely used framework for building LLM applications. Chains, agents, RAG pipelines, and deep integrations with 300+ tools.

Haystack Website ↗GitHub ↗
LangChain Website ↗GitHub ↗

Shared Connections (3)

LlamaIndexQdrantPinecone

Only Haystack (1)

LangChain

Only LangChain (26)

OpenHandsCrewAIAutoGenLangGraphSemantic KernelLangSmithChromaWeaviate
See full comparison in Explore →