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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

Budget

Use case

Stage

Cluster

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools integrates with
Haystack
vs
Qdrant

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
Field
Haystack
Qdrant
Category
Pipelines & RAG
LLM Infrastructure
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
deepset Cloud: Custom
Cloud: Usage-based
Stars
⭐ 18,000
⭐ 20,000
Health
●85 — Active
●80 — Active
Trajectory
— not enough data
— not enough data
Synced
7 days ago
today

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.

Haystack Website ↗GitHub ↗
Qdrant Website ↗GitHub ↗

Shared Connections (3)

LangChainLlamaIndexPinecone

Only Haystack (1)

Qdrant

Only Qdrant (9)

LangGraphHaystackDifyVercel AI SDKChromapgvectorWeaviateMilvus
See full comparison in Explore →