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Merge pull request #95 from ContextualAI/logo-update
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‎01-getting-started/README.md‎

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# Contextual AI Platform Intro Examples
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<img src="https://github.com/ContextualAI/examples/blob/main/images/Contextual_AI_Lockup_Dark.png?raw=true" alt="Contextual AI" width="300">
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<p></p>
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This repository contains example notebooks demonstrating how to use the Contextual AI Platform for creating and deploying generative AI agents. The examples focus on implementing Retrieval-Augmented Generation (RAG) for financial use cases.
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## Repository Structure

‎01-getting-started/end-to-end-example.ipynb‎

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},
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"# Introduction to Contextual AI Platform using the Python Client\n",
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‎01-getting-started/quick-start.ipynb‎

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"# Quick Start for Contextual AI Platform using the Python Client\n",
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‎02-hands-on-lab/README.md‎

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<img src="https://github.com/ContextualAI/examples/blob/main/images/Contextual_AI_Lockup_Dark.png?raw=true" alt="Contextual AI" width="300">
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<br/>
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5. 🔑 Set up your API credentials in the respective [notebook](02-hands-on-lab/lab1_create_agent.ipynb)
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```bash
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API_TOKEN = '...' # Replace with your actual API token
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```
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```

‎02-hands-on-lab/lab1_create_agent.ipynb‎

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"# Lab 1: Create an Agent and Datastore\n",
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‎03-standalone-api/01-lmunit/lmunit.ipynb‎

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‎03-standalone-api/02-generate/generate.ipynb‎

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‎03-standalone-api/03-rerank/rerank.ipynb‎

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‎03-standalone-api/README.md‎

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# Component API Examples
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This repository contains examples of using the component API's.

‎05-policy-changes/README.md‎

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# Tracking Changes in Long Policy Documents Using Contextual AI
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<p></p>
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## Notebook
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The notebook walks you through setting up your agent, ingesting your data, and making the first query. To explore more of the python capabilities check out the end-to-end notebook or the full documentation.
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The notebook walks you through setting up your agent, ingesting your data, and making the first query. To explore more of the python capabilities check out the end-to-end notebook or the full documentation.

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