These tools integrates with

QdrantvsHaystack

High-performance vector DB with filtering versus Composable NLP and LLM pipeline framework

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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 Haystack when…

  • You're building search-first or RAG pipelines in Python
  • Deepset's enterprise search DNA fits your use case
  • You need flexible document processing pipelines

Side-by-side comparison

Field
Qdrant
Haystack
Category
LLM Infrastructure
Pipelines & RAG
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: Usage-based
deepset Cloud: Custom
GitHub Stars
20,000
18,000
Health
80 Active
85 Active

Qdrant

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

Haystack

deepset's open-source framework for building production NLP and LLM pipelines. Strong focus on RAG, search, and document AI use cases.

Shared Connections3 tools both integrate with

Only Qdrant (9)

LangGraphHaystackDifyChromaWeaviateMilvusVercel AI SDKpgvectorRedis Vector

Only Haystack (1)

Qdrant

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