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235 tools · 33 stacks

AI tools are all over the place. This is the full landscape — 247 tools across 21 categories, mapped and connected. Ready to narrow it down? Build your stack →

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These tools integrates with
LlamaIndex
vs
Qdrant

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

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
LlamaIndex
Qdrant
Category
Pipelines & RAG
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
Cloud: Usage-based
Stars
⭐ 37,000
⭐ 20,000
Health
●100 — Active
●95 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

LlamaIndex

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

Qdrant

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

LlamaIndex Website ↗GitHub ↗
Qdrant Website ↗GitHub ↗

Shared Connections (8)

LangGraphLangChainChromapgvectorWeaviatePineconeHaystackLightRAG

Only LlamaIndex (11)

CursorQdrantLangfuseLiteLLMOllamaRAGASOpenAI APIAnthropic API

Only Qdrant (6)

LlamaIndexDifyVercel AI SDKMilvusRedis VectorMem0
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