RAG & Knowledge Basesfree

Build an OpenAI RAG System with Document Upload, Semantic Search and Caching

by ResilNextUpdated Aug 2026

RequiresOpenAI

Postgres

1/5

STEPS · 20

Starts on an incoming request

On a webhook, extracts and embeds uploaded documents into a Postgres vector store with OpenAI, then answers queries via a RAG agent.

RAG & Genai App with WordPress Content

On a webhook query, answers from WordPress content embedded into a Supabase vector store, using OpenAI and Postgres chat memory.

On a webhook query, answers from WordPress content embedded into a Supabase vector store, using OpenAI and Postgres chat memory.

On a webhook, an OpenAI RAG agent over Qdrant answers questions, checks Google Calendar, and replies; indexes Google Drive docs.