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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
Weaviate

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 Weaviate when…

  • •You want a knowledge graph alongside vector search
  • •Multi-modal search (text + image) is needed
  • •You need hybrid keyword + vector search
Field
LangChain
Weaviate
Category
Pipelines & RAG
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
Cloud: Usage-based
Stars
⭐ 93,000
⭐ 11,000

LangChain

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

Weaviate

Open-source vector database with hybrid search (vector + BM25), multi-modal support, and native GraphQL API. Strong enterprise adoption.

LangChain Website ↗GitHub ↗
Weaviate Website ↗GitHub ↗

Shared Connections (3)

LlamaIndexQdrantPinecone

Only LangChain (21)

OpenHandsCrewAIAutoGenLangGraphSemantic KernelLangSmithChromaWeaviate

Only Weaviate (2)

LangChainMilvus
See full comparison in Explore →