- A complete RAG setup with sample data
- Two pre-configured agent types
- Automatic index creation and population
- Source references and similarity scores
- Production-ready architecture
Frameworks
VoltAgent
Build TypeScript AI agents with VoltAgent and Pinecone that use automatic embeddings, semantic search, and metadata filtering for observable RAG.
VoltAgent is a TypeScript framework for building AI agents with retrieval-augmented generation (RAG). It supports two retrieval patterns, either searching automatically on every interaction or letting the LLM decide when to search, and includes built-in observability and tracking.
This integration connects VoltAgent agents to Pinecone Database and generates embeddings automatically with OpenAI’s API. It provides semantic search with similarity scoring, source tracking, metadata filtering, and namespace organization, and it supports serverless deployment with automatic scaling.
The integration provides:
Was this page helpful?