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123 tools · 10 stacks
GitHub

AI tools are all over the place. This is the full landscape — 123 tools across 12 categories, mapped and connected. Ready to narrow it down? Build your stack →

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?
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These tools integrates with
LangChain
vs
pgvector

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

Choose pgvector when…

  • •You're already on PostgreSQL
  • •You want vector search without a separate database
  • •SQL queries combined with embedding search are needed
Field
LangChain
pgvector
Category
Pipelines & RAG
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
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Stars
⭐ 93,000
⭐ 13,000

LangChain

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

pgvector

Adds vector similarity search to PostgreSQL. Perfect for teams already on Postgres who don't want to manage a separate vector DB.

LangChain Website ↗GitHub ↗
pgvector Website ↗GitHub ↗

Shared Connections (4)

LangGraphLlamaIndexQdrantPinecone

Only LangChain (20)

OpenHandsCrewAIAutoGenSemantic KernelLangSmithChromaWeaviatepgvector

Only pgvector (2)

LangChainMilvus
See full comparison in Explore →