These tools integrates with
QdrantvsLlamaIndex
High-performance vector DB with filtering versus Data framework for RAG and LLM pipelines
Compare interactively in Explore →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
Side-by-side comparison
Field
Qdrant
LlamaIndex
Category
LLM Infrastructure
Pipelines & RAG
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: Usage-based
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GitHub Stars
⭐ 20,000
⭐ 37,000
Health
●80 — Active
●85 — Active
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 Qdrant (5)
LlamaIndexDifyMilvusVercel AI SDKRedis Vector
Only LlamaIndex (10)
QdrantCursorLangfuseLiteLLMOllamaRAGASAnthropic APIOpenAI APIvLLMFirecrawl
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