LlamaIndex vs Pinecone

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	LlamaIndex RAG	Pinecone RAG
Tagline	Data framework for connecting LLMs to your data.	Managed vector database for production-scale similarity search.
Category	RAG	RAG
Pricing	Freemium· Free open-source; LlamaCloud paid	Freemium· Free starter; serverless pay-as-you-go from $0.33/1M reads
Model	BYO (Claude / GPT / open)	Hosted vector DB (not an LLM)
Editorial score	8.7 / 10	8.8 / 10
Use cases	RAGdata ingestionindexing	managed vector DBproduction RAG
Pros	Focused on retrieval (not general agent stuff) Many ingestion connectors Strong production patterns LlamaCloud for managed ingestion	Zero ops Low query latency Mature SDKs Serverless pricing is now sensible
Cons	API surface is large Documentation can be hard to navigate	Costs scale with vector count Less flexible than self-hosted
Website	www.llamaindex.ai	www.pinecone.io

Pick LlamaIndex if

Pick Pinecone if