Pinecone
Managed vector DB service
About
Fully managed vector database with serverless indexes. No ops overhead. The go-to managed option for production RAG.
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
Builder Slot
The memory layer — stores and retrieves vector embeddings for RAG and semantic search
Other tools in this slot:
Stack Genome Detection
AIchitect's Genome scanner detects Pinecone in your project via these signals:
@pinecone-database/pineconepineconepinecone-clientPINECONE_API_KEYPINECONE_ENVIRONMENTIntegrates with (3)
LangChain wraps the Pinecone client in its vectorstore interface, making managed vector search available in any retrieval chain.
→ Production-scale semantic search inside LangChain — no infrastructure to manage, retrieval scales automatically with Pinecone.
LlamaIndex stores and queries embeddings in Pinecone via its PineconeVectorStore adapter.
→ Managed, auto-scaling vector retrieval for LlamaIndex at production scale with no infrastructure to operate.
Alternatives to consider (6)
Pricing
Recent Activity
View all activity for this tool →Ruled out by 3 stacks
Badge
Add to your GitHub README
[](https://www.aichitect.dev/tool/pinecone)Explore the full AI landscape
See how Pinecone fits into the bigger picture — browse all 207 tools and their relationships.