Pinecone

Overview

Pinecone is a fully managed vector database purpose-built for AI applications. We use Pinecone to store, index, and query high-dimensional embeddings at low latency — powering semantic search, retrieval-augmented generation (RAG), and personalization systems that require fast similarity matching across millions of vectors.

Our Capabilities

• High-dimensional vector indexing & ANN search
• Serverless & pod-based deployment options
• Metadata filtering with vector search
• Namespace isolation for multi-tenancy
• Integration with LangChain, LlamaIndex & OpenAI
• Real-time upserts & deletions
• Hybrid search (dense + sparse vectors)
• Scalable to billions of vectors

Common Use Cases

• RAG knowledge retrieval systems
• Semantic document search
• Product & content recommendation
• Duplicate detection & deduplication