In Simple terms: a Searchable Database that stores MEANING – Not Keywords.
A production retrieval pipeline — Telegram capture, LLM-based extraction, vector embeddings, and an MCP server sitting in front of Supabase/pgvector — queryable in plain language from Claude, ChatGPT, or any MCP-compatible client. Every proof point in this document was run live against the production database while it was being written, including exactly what an ordinary keyword search on the same table returns.
To access more Execution Case studies, essays or frameworks check out my “Execution” Branch of my knowledge Tree Here – https://gabebautista.com/essays/execution/
