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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
pgvector
vs
LangChain

Choose pgvector when…

  • •You're already on PostgreSQL
  • •You want vector search without a separate database
  • •SQL queries combined with embedding search are needed

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
pgvector
LangChain
Category
LLM Infrastructure
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 13,000
⭐ 93,000
Health
●75 — Active
●85 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

pgvector

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

LangChain

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

pgvector Website ↗GitHub ↗
LangChain Website ↗GitHub ↗

Shared Connections (4)

LangGraphLlamaIndexQdrantPinecone

Only pgvector (3)

LangChainMilvusRedis Vector

Only LangChain (25)

OpenHandsCrewAIAutoGenSemantic KernelLangSmithChromaWeaviatepgvector
See full comparison in Explore →