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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 integrates with
Chroma
vs
LangChain

Choose Chroma when…

  • •You're prototyping a RAG app quickly
  • •Simplicity and in-process use matter
  • •You don't need cloud-scale vector search yet

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
Chroma
LangChain
Category
LLM Infrastructure
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 15,000
⭐ 93,000
Health
●80 — Active
●85 — Active
Trajectory
— not enough data
— not enough data
Synced
6 days ago
today

Chroma

Developer-friendly vector database. Embeds in-process or runs as a server. Great for prototyping RAG applications quickly.

LangChain

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

Chroma Website ↗GitHub ↗
LangChain Website ↗GitHub ↗

Shared Connections (3)

LlamaIndexQdrantPinecone

Only Chroma (2)

LangChainLanceDB

Only LangChain (26)

OpenHandsCrewAIAutoGenLangGraphSemantic KernelLangSmithChromaWeaviate
See full comparison in Explore →