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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 competes with
Chroma
vs
Pinecone

Choose Chroma when…

  • •You're prototyping a RAG app quickly
  • •Simplicity and in-process use matter
  • •You don't need cloud-scale vector search yet

Choose Pinecone when…

  • •You want managed, scalable vector search
  • •You don't want to run infra and need SLAs
  • •High availability and zero ops for vector DB matter
Field
Chroma
Pinecone
Category
LLM Infrastructure
LLM Infrastructure
Type
OSS
SaaS
Free Tier
✓ Yes
✓ Yes
Plans
—
Standard: Usage-based
Stars
⭐ 15,000
—
Health
●80 — Active
—
Trajectory
— not enough data
— not enough data
Synced
6 days ago
—

Chroma

Developer-friendly vector database. Embeds in-process or runs as a server. Great for prototyping RAG applications quickly.

Pinecone

Fully managed vector database with serverless indexes. No ops overhead. The go-to managed option for production RAG.

Chroma Website ↗GitHub ↗
Pinecone Website ↗

Shared Connections (3)

LangChainLlamaIndexQdrant

Only Chroma (2)

PineconeLanceDB

Only Pinecone (6)

HaystackWeaviateMilvusChromapgvectorturbopuffer
See full comparison in Explore →