GitHub topics: llama3-rag
alikanan1234/rag-using-langchain
🎥 Transform YouTube videos into an intelligent Q&A system with this minimal RAG pipeline using LangChain for efficient transcript extraction and interaction.
Language: Jupyter Notebook - Size: 1.57 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
GURPREETKAURJETHRA/RAG-using-Llama3-Langchain-and-ChromaDB
RAG using Llama3, Langchain and ChromaDB
Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 121 - Forks: 32
MaxMLang/RAG-nificent
Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.
Language: Python - Size: 35.4 MB - Last synced at: 5 days ago - Pushed at: 18 days ago - Stars: 11 - Forks: 0
Eviltr0N/Make-AI-Clone-of-Yourself
Cloning Yourself using your whatsapp chat history and training a model on it.
Language: Jupyter Notebook - Size: 269 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 2
GURPREETKAURJETHRA/Meta-LLAMA3-GenAI-UseCases-End-To-End-Implementation-Guides
META LLAMA3 GENAI Real World UseCases End To End Implementation Guide
Language: Jupyter Notebook - Size: 163 KB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 27 - Forks: 11
Mhijazi16/Briefly
📜 Briefly utilizes open-source LLM's with text embeddings and vectorstores to chat with your documents
Language: Python - Size: 18.6 KB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1
BrunoTanabe/whatsagenda-chatbot-for-calendar-configuration-demo
A ChatBot designed to assist WhatsAgenda customers in configuring their calendar. This tool streamlines the setup of scheduling, managing appointments, and customizing service hours, ensuring an efficient and user-friendly experience.
Language: Python - Size: 2.96 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
rieljasperapos/RAG_Chatbot
A Retrieval Augmented Generation (RAG) Chatbot that allows you to interact with your documents using the open source LLM model Llama 3.
Language: Python - Size: 1.17 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1
MrBinit/LLM-Constitution_Nepal_2072
This project leverages Retrieval Augmented Generation (RAG) to create an LLM model based on the Constitution of Nepal. The model, powered by LLAMA 3 70B and executed using ChatGROQ, enables efficient information retrieval and interaction with the constitutional text.
Language: Jupyter Notebook - Size: 2.31 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
antonio-f/Local-RAG-LLaMA3
Local RAG using LLaMA3
Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
ahsanGoheer/Playing-with-llama-3
Experiment using Meta's newly released llama 3 model.
Language: Jupyter Notebook - Size: 203 KB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
