llama-recipes/recipes/use_cases

• VideoSummary: Ask Llama2 to Summarize a YouTube Video (using Replicate or OctoAI)
• NBA2023-24: Ask Llama2 about Structured Data
• LiveData: Ask Llama2 about Live Data (using Replicate or OctoAI)
• WhatsApp Chatbot: Building a Llama-enabled WhatsApp Chatbot
• Messenger Chatbot: Building a Llama-enabled Messenger Chatbot
• • RAG Chatbot Example (running locally or on OctoAI)

VideoSummary: Ask Llama2 to Summarize a YouTube Video (using Replicate or OctoAI)

This demo app uses Llama2 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 four 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 4096 limit of Llama's max input token size.

NBA2023-24: Ask Llama2 about Structured Data

This demo app shows how to use LangChain and Llama2 to let users ask questions about structured data stored in a SQL DB. As the 2023-24 NBA season is around the corner, we use the NBA roster info saved in a SQLite DB to show you how to ask Llama2 questions about your favorite teams or players.

LiveData: Ask Llama2 about Live Data (using Replicate or OctoAI)

This demo app shows how to perform live data augmented generation tasks with Llama2 and LlamaIndex, another leading open-source framework for building LLM apps: it uses the You.com search API to get live search result and ask Llama2 about them.

WhatsApp Chatbot: Building a Llama-enabled WhatsApp Chatbot

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

Messenger Chatbot: Building a Llama-enabled Messenger Chatbot

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

RAG Chatbot Example (running locally or on OctoAI)

A complete example of how to build a Llama 2 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.