Retrieval-Augmented Generation
RAG with Pinecone
Build retrieval-augmented generation pipelines by embedding documents with Meridian, upserting vectors into Pinecone, and querying with semantic search.
Pipeline Architecture
Documents
→Meridian Embed
→Pinecone Upsert
→Semantic Query
Prerequisites
- •Pinecone account with API key
- •Index created with matching dimensions
- •Meridian API key for embeddings
Use Cases
- •Document Q&A over large knowledge bases
- •Codebase semantic search
- •Customer support with historical tickets