llama3-rag

There are 0 repository under llama3-rag topic.

GURPREETKAURJETHRA / RAG-using-Llama3-Langchain-and-ChromaDB
RAG using Llama3, Langchain and ChromaDB
chromadb generative-ai langchain llama3 llama3-rag rag
Language:Jupyter Notebook 52
GURPREETKAURJETHRA / Meta-LLAMA3-GenAI-UseCases-End-To-End-Implementation-Guides
META LLAMA3 GENAI Real World UseCases End To End Implementation Guide
chromadb fine-tuning fsdp generativeai langchain-python llama3 llama3-70b-8192 llama3-finetune llama3-meta-ai llama3-prompts llama3-rag prompt-tuning pytorch qlora rag sagemaker streamlit huggingface ollama
Language:Jupyter Notebook 10
MaxMLang / RAG-nificent
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 Llama3.1 and OpenAI Models via the Groq API.
chainlit chatgpt langchain pinecone rag rag-implementation rag-pipeline vector-database gemma groq groqapi llama3 mistral-7b mistralai llama3-rag
Language:Python 9
Mhijazi16 / Briefly
📜 Briefly utilizes open-source LLM's with text embeddings and vectorstores to chat with your documents
llama2-7b llama3 llama3-rag llm machine-learning python rag retrival-augmented
Language:Python 1
NebeyouMusie / End-to-End-RAG-Project-using-ObjectBox-and-LangChain
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.
groq groq-api huggingface huggingface-embeddings langchain llama3 llama3-rag objectbox pyhton retrieval-augmented-generation
Language:Python 1
ahsanGoheer / Playing-with-llama-3
Experiment using Meta's newly released llama 3 model.
agents llama3 llama3-rag
Language:Jupyter Notebook 0
davidgao7 / StructureRA
Your personal assistant on structure data!
agent langchain langserve langsmith llama3 llama3-rag rag
Language:Python 0
antonio-f / Local-RAG-LLaMA3
Local RAG using LLaMA3
artificial-intelligence hands-on jupyter-notebook langchain llama3-rag llm local machine-learning python rag retrieval-augmented-generation scikit-learn tutorial annotated support-vector-machines
Language:Jupyter Notebook
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.
chat-bot chat-with-your-data chatbot faiss faiss-vector-database groq groq-api huggingface huggingface-embeddings langchain langchain-python langsmith large-language-model llama3 llama3-rag llm python rag retrieval-augmented-generation retrieval-chatbot
Language:Python
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.
langchain llama3-rag llamaindex
Language:Jupyter Notebook

llama3-rag

GURPREETKAURJETHRA / RAG-using-Llama3-Langchain-and-ChromaDB

GURPREETKAURJETHRA / Meta-LLAMA3-GenAI-UseCases-End-To-End-Implementation-Guides

MaxMLang / RAG-nificent

Mhijazi16 / Briefly

NebeyouMusie / End-to-End-RAG-Project-using-ObjectBox-and-LangChain

ahsanGoheer / Playing-with-llama-3

davidgao7 / StructureRA

antonio-f / Local-RAG-LLaMA3

BrunoTanabe / whatsagenda-chatbot-for-calendar-configuration-demo

MrBinit / LLM-Constitution_Nepal_2072