Pinecone Vector Store for RAG

Description

Integrates Pinecone as the vector database for retrieval-augmented generation (RAG), enabling AI bots and agents to query enterprise knowledge bases using semantic similarity search. Retrieved chunks are injected into the LLM prompt to ground responses in accurate, up-to-date content.

Canonical use case

A telecoms provider's support bot queries a Pinecone-indexed knowledge base of product manuals and FAQs to answer device-specific questions, reducing hallucination and support escalations.