Pinecone is built for storing and querying vector embeddings, making it essential for AI features like semantic search and retrieval-augmented generation.
Pinecone is a specialized vector database designed for storing and querying vector embeddings. It's essential for semantic search, recommendation systems, and retrieval-augmented generation in AI apps.
- Scalable and high-performance vector search
- Works seamlessly with OpenAI, Claude, and LangChain
- Fully managed with low-latency APIs
- Ideal for AI search, memory, and recommendations
Yes—Pinecone powers knowledge bases, search tools and intelligent assistants.
It offers speed, scalability and excellent performance for vector search.
Yes—I commonly pair Pinecone with LangChain for RAG pipelines.
Yes—Pinecone retrieves highly relevant context, improving chatbot and search responses.
Pinecone is a vector database I use for storing and querying embeddings for AI search and chat systems.
I’ve been fortunate to work with many wonderful clients over the past 30 years