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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
Qdrant

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 Qdrant when…

  • •You need high-performance vector search in production
  • •You want OSS with Rust-level performance
  • •Filtering alongside vector search is important
Field
LangChain
Qdrant
Category
Pipelines & RAG
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
Cloud: Usage-based
Stars
⭐ 93,000
⭐ 20,000

LangChain

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

Qdrant

Rust-based vector database optimized for filtering. Supports named vectors, payloads, and hybrid search. Self-hostable or cloud.

LangChain Website ↗GitHub ↗
Qdrant Website ↗GitHub ↗

Shared Connections (8)

LangGraphLlamaIndexChromaPineconeWeaviatepgvectorHaystackVercel AI SDK

Only LangChain (16)

OpenHandsCrewAIAutoGenSemantic KernelLangSmithQdrantLiteLLMLangfuse

Only Qdrant (3)

LangChainDifyMilvus
See full comparison in Explore →