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123 tools · 10 stacks
GitHub

AI tools are all over the place. This is the full landscape — 123 tools across 12 categories, mapped and connected. Ready to narrow it down? Build your stack →

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?
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These tools integrates with
LlamaIndex
vs
Pinecone

Choose LlamaIndex when…

  • •You're building RAG or knowledge base apps
  • •Structured data querying over documents is your focus
  • •You need powerful index and retrieval primitives

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
LlamaIndex
Pinecone
Category
Pipelines & RAG
LLM Infrastructure
Type
OSS
SaaS
Free Tier
✓ Yes
✓ Yes
Plans
—
Standard: Usage-based
Stars
⭐ 37,000
—

LlamaIndex

Framework specialized in data ingestion, indexing, and retrieval for LLM applications. The go-to for complex RAG pipelines.

Pinecone

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

LlamaIndex Website ↗GitHub ↗
Pinecone Website ↗

Shared Connections (6)

LangChainQdrantChromapgvectorWeaviateHaystack

Only LlamaIndex (10)

CursorLangGraphLangfuseLiteLLMOllamaRAGASOpenAI APIAnthropic API

Only Pinecone (2)

LlamaIndexMilvus
See full comparison in Explore →