SaaSActive

Pinecone

Managed vector database for AI applications with integrated embedding, search, and reranking.

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Field note

What it does

Vector database platform for building knowledge retrieval, RAG chatbots, and semantic search with serverless indexes, integrated embeddings, and reranking.

Capabilities

Available capabilities

Independent read/write scalingMCP ServerRAG supportDense vector semantic searchSparse vector retrievalMetadata filteringMulti-cloud deploymentServerless indexesVector SearchMulti TenancyHybrid SearchPer-command namespace isolationRerankingS3 bulk importServerless architectureSemantic searchServerless indexingIntegrated embeddingFull-Text SearchLong-term memorySparse vector lexical searchInferenceDense vector storageKnowledge retrieval

Tags

Tags

Vector databaseServerlessAI AgentsRAGAI/MLAIFull-text searchAWSSemantic Search

Ways to use it

Ways to use it

sdk

python / pinecone

mcp

Not filed / https://docs.pinecone.io/

cli

Not filed / https://docs.pinecone.io/

rest

Not filed / https://docs.pinecone.io/

mcp

Not filed / https://docs.pinecone.io/guides/integrations/mcp

sdk

Not filed / https://docs.pinecone.io/guides/get-started/quickstart

sdk

Not filed / https://docs.pinecone.io/guides/get-started/quickstart

rest

Not filed / https://docs.pinecone.io/guides/get-started/quickstart

sdk

python / pinecone

rest

Not filed / https://docs.pinecone.io/

Product features

Product features

​ 1. Create a Pinecone account

​ 2. Get a Pinecone API key

Agent

​ Agent / LLM? Start here

​ Build a knowledge retrieval agent

Build a RAG chatbot

​ Choose your path

​ Fastest: use your AI coding tool

​ Get set up

IDE assistant

​ Next steps

No-code