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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
Qdrant
vs
LangChain

Choose Qdrant when…

  • •You need high-performance vector search in production
  • •You want OSS with Rust-level performance
  • •Filtering alongside vector search is important

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
Qdrant
LangChain
Category
LLM Infrastructure
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Cloud: Usage-based
—
Stars
⭐ 20,000
⭐ 93,000
Health
●80 — Active
●85 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

Qdrant

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

LangChain

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

Qdrant Website ↗GitHub ↗
LangChain Website ↗GitHub ↗

Shared Connections (8)

LangGraphLlamaIndexHaystackVercel AI SDKChromaPineconepgvectorWeaviate

Only Qdrant (4)

LangChainDifyMilvusRedis Vector

Only LangChain (21)

OpenHandsCrewAIAutoGenSemantic KernelLangSmithQdrantLiteLLMLangfuse
See full comparison in Explore →