AIchitect
StacksGraphBuilderSimulateCompareGenomeActivityPulse
235 tools · 33 stacks

AI tools are all over the place. This is the full landscape — 247 tools across 21 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?
Browse all categories →
These tools competes with
LangChain
vs
Haystack

Choose LangChain when…

  • •You want a broad, flexible LLM orchestration toolkit
  • •You need integrations with many tools and data sources
  • •You're prototyping or exploring LLM app patterns

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
Field
LangChain
Haystack
Category
Pipelines & RAG
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
deepset Cloud: Custom
Stars
⭐ 93,000
⭐ 18,000
Health
●100 — Active
●100 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

LangChain

Most widely used framework for building LLM applications. Chains, agents, RAG pipelines, and deep integrations with 300+ tools.

Haystack

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

LangChain Website ↗GitHub ↗
Haystack Website ↗GitHub ↗

Shared Connections (4)

LlamaIndexQdrantPineconeRAGFlow

Only LangChain (29)

OpenHandsCrewAIAutoGenLangGraphSemantic KernelLangSmithChromaWeaviate

Only Haystack (1)

LangChain
See full comparison in Explore →