Enterprise RAG Knowledge Agent, n8n, OpenAI APIs, Pinecone Vector DB, Google Workspace APIs
- Engineered a production-grade Retrieval-Augmented Generation (RAG) pipeline to automate document auditing and semantic searching
within large data sources (e.g., Google Drive/Sheets).
- Implemented advanced text chunking using Recursive Character Text Splitter and generated text embeddings through OpenAI to upsert vectors
into Pinecone DB.
- Configured an AI Agent node with conversational memory, enabling users to fetch exact, hallucination-free insights from corporate files.