These tools integrates with

LlamaIndexvsQdrant

Data framework for RAG and LLM pipelines versus High-performance vector DB with filtering

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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

Side-by-side comparison

Field
LlamaIndex
Qdrant
Category
Pipelines & RAG
LLM Infrastructure
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: Usage-based
GitHub Stars
37,000
20,000

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.

Shared Connections7 tools both integrate with

Only LlamaIndex (9)

CursorQdrantLangfuseLiteLLMOllamaRAGASOpenAI APIAnthropic APIvLLM

Only Qdrant (4)

LlamaIndexDifyVercel AI SDKMilvus

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