About Pinecone
Pinecone is a commercial managed vector database used to build semantic search and retrieval-augmented generation applications. Developers store embeddings in an index and query it to find the most relevant content, with search, upsert and rerank operations available through one API.
The vendor now describes an AI knowledge platform made up of a database, a Nexus knowledge engine for agents and a marketplace. Nexus compiles enterprise data into governed knowledge once and serves it through a single query, rather than having an agent run a retrieval loop. Pinecone can be reached through plugins for coding agents such as Claude Code, Cursor, Copilot, Codex and Gemini CLI, as well as MCP and the API. A Bring Your Own Cloud option is generally available, and a cost estimator is provided. Pinecone is proprietary and vendor-hosted, with a free start, demo requests and a pricing page.
Key features
- Managed vector index for embeddings
- Search, upsert and rerank from one API
- Nexus knowledge engine for agents
- Plugins for coding agents and MCP
- Bring Your Own Cloud option
- Cost estimator for workloads
Good fit for
- →Building RAG pipelines for production apps
- →Powering semantic search over documents
- Tags
- vector-database
- semantic-search
- rag
- embeddings
- ai-agents
- managed-service
- search
Pinecone: questions and answers
- What is Pinecone used for?
- Pinecone is a managed vector database for semantic search and retrieval, with a Nexus layer that prepares knowledge for AI agents. It is a good fit for building RAG pipelines for production apps and powering semantic search over documents.
- Is Pinecone free?
- Yes. Pinecone has a free plan, and paid plans start at $20 per month. A free trial is also available.
- Is Pinecone open source?
- No. Pinecone is proprietary (closed-source) software. Open-source alternatives to Pinecone include Chroma, Qdrant and Weaviate.
- What are some alternatives to Pinecone?
- Pinecone competes with Elastic, MongoDB Atlas and Vectara. For open-source options, see Enlisted's ranked list of open-source Pinecone alternatives.
Open-source alternatives to Pinecone
See all
Chroma
Databases
Search infrastructure for AI
Apache-2.0vs Pinecone★ 29k
Qdrant
Databases
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the
Apache-2.0vs Pinecone★ 35k
Weaviate
Databases
Weaviate is an open-source vector database that stores both objects and vectors, allowing
OSSvs Pinecone★ 17k
Milvus
Databases
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN s
Apache-2.0vs Pinecone★ 46k
NucliaDB
Databases
NucliaDB, The AI Search database for RAG
OSSvs Pinecone★ 722
Epsilla VectorDB
Databases
A high performance Vector Database leveraging parallel graph computing
GPL-3.0vs Pinecone★ 875
SaaS alternatives to Pinecone
See all
Elastic
Search
Elastic builds Elasticsearch, a distributed search and analytics engine used for application search, logs, vector search and security analytics.
SaaS
MongoDB Atlas
Databases
Managed MongoDB service across AWS, Azure and Google Cloud
SaaS
Vectara
Search
Managed retrieval and RAG platform with semantic search APIs
SaaS
Amazon OpenSearch Service
Search
Managed AWS service for running OpenSearch clusters for search and log analytics
SaaS
Azure AI Search
Search
Azure managed search with full-text, vector and hybrid retrieval
SaaS
Upstash
Databases
Serverless Redis, Kafka and vector database with per-request pricing
SaaS

