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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
LlamaIndex

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 LlamaIndex when…

  • •You're building RAG or knowledge base apps
  • •Structured data querying over documents is your focus
  • •You need powerful index and retrieval primitives
Field
Qdrant
LlamaIndex
Category
LLM Infrastructure
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Cloud: Usage-based
—
Stars
⭐ 20,000
⭐ 37,000
Health
●80 — Active
●85 — Active
Trajectory
— not enough data
— not enough data
Synced
today
2 days ago

Qdrant

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

LlamaIndex

Framework specialized in data ingestion, indexing, and retrieval for LLM applications. The go-to for complex RAG pipelines.

Qdrant Website ↗GitHub ↗
LlamaIndex Website ↗GitHub ↗

Shared Connections (7)

LangGraphLangChainHaystackChromaPineconepgvectorWeaviate

Only Qdrant (5)

LlamaIndexDifyVercel AI SDKMilvusRedis Vector

Only LlamaIndex (10)

CursorQdrantLangfuseLiteLLMOllamaRAGASOpenAI APIAnthropic API
See full comparison in Explore →