RAG using Llama3, Langchain and ChromaDB
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Updated
May 22, 2024 - Jupyter Notebook
RAG using Llama3, Langchain and ChromaDB
RAG-nificent is a state-of-the-art framework leveraging Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs containing information on any given topic. Supports Llama3 and OpenAI Models via the Groq API.
META LLAMA3 GENAI Real World UseCases End To End Implementation Guide
In this end to end project I have built a RAG app using ObjectBox Vector Databse and LangChain. With Objectbox you can do OnDevice AI, without the data ever needing to leave the device.
Experiment using Meta's newly released llama 3 model.
Local RAG using LLaMA3
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