Pinecone is a managed vector database for fast, scalable similarity search. It stores document chunks with embeddings so an application can retrieve relevant knowledge for retrieval-augmented generation (RAG). section 10.5.2
A practical Pinecone workflow includes:
- Create an index, comparable to a table in a traditional database, and configure its embedding model, dimension, metric, capacity, cloud, and region. section 10.5.2
Support chatbot knowledge base
A customer-support app ingests product and maintenance articles, retrieves passages relevant to a customer’s messages, and gives those passages to the assistant. The resulting chatbot can use the knowledge base while redirecting uncertain questions to human support.
