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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
Qdrant
vs
LightRAG

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 LightRAG when…

  • •Your queries require reasoning across multiple documents or topics
  • •You want graph-based retrieval instead of flat vector search
  • •You need both fact-level and concept-level retrieval in one system
Field
Qdrant
LightRAG
Category
LLM Infrastructure
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Cloud: Usage-based
—
Stars
⭐ 20,000
⭐ 15,000
Health
●95 — 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.

LightRAG

RAG framework that builds a knowledge graph from documents, enabling retrieval at both local (specific facts) and global (thematic) levels. Outperforms naive RAG on complex questions requiring reasoning across multiple document sections. EMNLP 2025.

Qdrant Website ↗GitHub ↗
LightRAG Website ↗GitHub ↗

Shared Connections (1)

LlamaIndex

Only Qdrant (13)

LangGraphLangChainHaystackDifyVercel AI SDKChromaPineconepgvector

Only LightRAG (2)

QdrantOpenAI API
See full comparison in Explore →