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VideoSummary: Ask Llama 3 to Summarize a Long YouTube Video (using Replicate or OctoAI)

This demo app uses Llama 3 to return a text summary of a YouTube video. It shows how to retrieve the caption of a YouTube video and how to ask Llama to summarize the content in different ways, from the simplest naive way that works for short text to more advanced methods of using LangChain's map_reduce and refine to overcome the 8K context length limit of Llama 3.

NBA2023-24: Ask Llama 3 about Structured Data

This demo app shows how to use LangChain and Llama 3 to let users ask questions about structured data stored in a SQL DB. As the 2023-24 NBA season is entering the playoff, we use the NBA roster info saved in a SQLite DB to show you how to ask Llama 3 questions about your favorite teams or players.

live_data: Ask Llama 3 about Live Data (using Replicate or OctoAI)

This demo app shows how to perform live data augmented generation tasks with Llama 3, LlamaIndex, another leading open-source framework for building LLM apps, and the Tavily live search API.

WhatsApp Chatbot: Building a Llama 3 Enabled WhatsApp Chatbot

This step-by-step tutorial shows how to use the WhatsApp Business API to build a Llama 3 enabled WhatsApp chatbot.

Messenger Chatbot: Building a Llama 3 Enabled Messenger Chatbot

This step-by-step tutorial shows how to use the Messenger Platform to build a Llama 3 enabled Messenger chatbot.

RAG Chatbot Example (running locally or on OctoAI)

A complete example of how to build a Llama 3 chatbot hosted on your browser that can answer questions based on your own data using retrieval augmented generation (RAG). You can run Llama2 locally if you have a good enough GPU or on OctoAI if you follow the note here.

Sales Bot: Sales Bot with Llama3 - A Summarization and RAG Use Case

An summarization + RAG use case built around the Amazon product review Kaggle dataset to build a helpful Music Store Sales Bot. The summarization and RAG are built on top of Llama models hosted on OctoAI, and the vector database is hosted on Weaviate Cloud Services.