AIchitect
StacksGraphBuilderCompareGenome
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
RAGAS
vs
LangChain

Choose RAGAS when…

  • •You're evaluating a RAG pipeline specifically
  • •Context relevance and answer faithfulness are your key metrics
  • •You want an OSS eval framework focused on retrieval quality

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
RAGAS
LangChain
Category
Prompt & Eval
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 7,000
⭐ 93,000
Health
●55 — Slowing
●85 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

RAGAS

Evaluates retrieval-augmented generation pipelines on faithfulness, answer relevancy, context precision, and recall.

LangChain

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

RAGAS Website ↗GitHub ↗
LangChain Website ↗GitHub ↗

Shared Connections (2)

LlamaIndexLangfuse

Only RAGAS (3)

LangChainDeepEvalTruLens

Only LangChain (27)

OpenHandsCrewAIAutoGenLangGraphSemantic KernelLangSmithQdrantChroma
See full comparison in Explore →