https://github.com/bhattbhavesh91/youtube-q-a-gradient-astradb

Q&A chatbot, employing LlamaIndex, ASTRA DB (Apache Cassandra), and Gradient's open-source models like LLama2, Gradio, all designed for seamless interaction with YouTube videos
https://github.com/bhattbhavesh91/youtube-q-a-gradient-astradb

astradb gradientai llama-index llama2 python retrieval-augmented-generation vector-database youtube-bot

Last synced: 3 months ago
JSON representation

Q&A chatbot, employing LlamaIndex, ASTRA DB (Apache Cassandra), and Gradient's open-source models like LLama2, Gradio, all designed for seamless interaction with YouTube videos

Host: GitHub
URL: https://github.com/bhattbhavesh91/youtube-q-a-gradient-astradb
Owner: bhattbhavesh91
License: apache-2.0
Created: 2023-10-30T16:12:55.000Z (almost 2 years ago)
Default Branch: main
Last Pushed: 2023-11-03T13:11:42.000Z (almost 2 years ago)
Last Synced: 2025-03-16T21:56:15.424Z (8 months ago)
Topics: astradb, gradientai, llama-index, llama2, python, retrieval-augmented-generation, vector-database, youtube-bot
Language: Jupyter Notebook
Homepage:
Size: 19.5 KB
Stars: 2
Watchers: 2
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE

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README

Q&A chatbot, employing LlamaIndex, ASTRA DB (Apache Cassandra), and Gradient's open-source models like LLama2, Gradio, all designed for seamless interaction with YouTube videos

In this tutorial, I'll walk you through the steps to create your custom YouTube video chatbot. We'll harness the power of LlamaIndex, enhanced with the Llama2 model API using Gradient's LLM solution, seamlessly merge it with DataStax's Apache Cassandra as a vector database, and elevate it with OpenAI's Whisper model. This innovative blend unlocks exciting opportunities for immersive interactions with YouTube videos through engaging conversations. Get ready to explore this cutting-edge technology!