RAG & Knowledge Basesfree

Handle Customer Support Queries with Cache First RAG Using Redis, Langcache and OpenAI

by Mohamed AbdelwahabUpdated Aug 2026

RequiresOpenAI

1/5

FLOWS

STEPS · 28

Starts from a chat message

On a chat message, answers support queries with a cache-first RAG agent over a Redis vector store using OpenAI embeddings.

Build a Chatbot, Voice Agent and Phone Agent with Voiceflow, Google Calendar and RAG

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

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.