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AI Chatbot for Developer Documentation Assistance | Agentic AI Project | Euron

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Ready to build your own AI chatbot ?

This beginner-friendly video is your perfect guide!

– Learn how to create a Slack-integrated AI chatbot using Python, FastAPI, LlamaIndex, and Slack API.
– Master Python fundamentals while exploring advanced tools like n8n for workflow automation.
– Follow a structured and comprehensive step-by-step process, ideal for beginners and those refreshing their coding skills.
– Discover how to automate technical queries, fetch accurate documentation answers, and streamline developer workflows.
– Perfect your understanding of practical applications with real-time examples and hands-on guidance.

Kickstart your programming journey with this comprehensive video on building AI-driven solutions! Whether you’re new to coding or looking to expand your Python knowledge, this video has you covered.

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CHAPTERS:
00:00 – Introduction
01:42 – Project Setup
08:32 – Folder Structure Creation
12:25 – Implementing app.py – Part 1
16:40 – Document Loading
17:35 – ChromaDB Initialization
19:03 – Loading ChromaCollection
21:32 – Converting ChromaCollection to VectorStore
22:16 – Creating VectorStoreIndex
27:15 – Backend Development
30:52 – FastAPI Creation
31:14 – Loading Precomputed Index
33:47 – API Endpoint Definition
36:35 – Running FastAPI Application
40:40 – n8n Setup
48:50 – New Workflow Creation
49:43 – Introduction to Ngrok
49:45 – Webhook Node Overview
52:30 – Exposing Localhost with Ngrok
57:13 – Testing Webhook from Internet
1:04:35 – Fetching Information from Previous Node
1:06:39 – Slack API Setup
1:13:22 – Challenge Parameter Explanation
1:18:38 – Webhook Response Handling
1:21:35 – Bot Events Subscription
1:25:46 – OAuth Permissions Setup
1:31:23 – Bot Testing in Workflow
1:38:05 – Sending Response to Slack
1:42:44 – Workflow Summary
1:45:46 – Streamlit Web UI Addition
1:47:30 – Chatbot Testing in Web UI
1:51:10 – New Workflow for Web UI
2:00:40 – Project Summary

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