These tools integrates with

HaystackvsQdrant

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

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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

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

Haystack

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

Qdrant

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

Shared Connections3 tools both integrate with

Only Haystack (1)

Qdrant

Only Qdrant (9)

LangGraphHaystackDifyChromaWeaviateMilvusVercel AI SDKpgvectorRedis Vector

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