agent-RAG-with-Contextual

Production-Ready RAG Agents with Contextual AI

Overview

This tutorial shows how to build Retrieval-Augmented Generation (RAG) agents using Contextual AI's managed platform. You'll learn to create a RAG pipeline for financial document analysis, which can help simplify the process of building production-ready systems.

What You'll Learn

• Document Processing: Parsing of financial documents with tables, charts, and structured content
• RAG Agent Creation: Building and deploying agents with custom instructions
• Query Processing: Natural language interaction with your document knowledge base
• Performance Evaluation: Testing frameworks for assessing and improving results

Tutorial

Complete Tutorial: contextual_tutorial.ipynb

The tutorial walks through creating a financial document analysis RAG agent, covering datastore setup, document ingestion, agent configuration, and performance evaluation.