Preface
Introduction to Simple RAG Consumption with Slack AI Agent recipe
- Prerequisites for creating an index in Pinecone
Simple RAG Consumption with Slack AI Agent recipe contents
- Simple RAG Consumption with Slack AI Agent recipe assets
Using the Simple RAG Consumption with Slack AI Agent recipe

Simple RAG Consumption with Slack AI Agent

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Preface

Use Simple RAG Consumption with Slack AI Agent
to learn how to receive a user query from Slack, search for relevant context in a vector database, send the query and context to a Large Language Model (LLM), and return the generated response back to the Slack channel. This guide assumes that you have an understanding of the Gemini Connector, Pinecone Connector, and Slack Connector concepts.

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Simple RAG Consumption with Slack AI Agent

Simple RAG Consumption with Slack AI Agent

Preface

Preface