Topic: rag-implementation Goto Github
Some thing interesting about rag-implementation
Some thing interesting about rag-implementation
rag-implementation,This is a an Advanced RAG system, where I tried to make it functioning in regular PC with a CPU using all free resources, using APIs and tools to make it happen.
User: anasaber
rag-implementation,RAG enabled Chatbots using LangChain and Databutton
User: avrabyt
rag-implementation,The library for character-driven AI experiences.
User: bennyschmidt
rag-implementation,Educational toolkit for all things RAG (Retrieval Augmented Generation)
Organization: cybernetica-labs
rag-implementation,A Retrieval Augmented Generation (RAG) system using LangChain, Ollama, Chroma DB and Gemma 7B model.
User: deeepsig
Home Page: https://www.kaggle.com/code/deeepsig/rag-using-langchain-chromadb-ollama-and-gemma-7b/notebook
rag-implementation,Optimizing a Retrieval-Augmented Generation (RAG) system on the CNN/Daily Mail dataset using LangChain, with performance benchmarking and analysis via RAGAS.
User: hillaryke
rag-implementation,This repository contains a Streamlit-based Document Question Answering System implementing the Retrieve-and-Generate (RAG) architecture, utilizing Streamlit for the UI, LangChain for text processing, and Google Generative AI for embeddings.
User: kalyanm45
rag-implementation,Open source implementation of Sova - RAG-based Web search engine using power of LLMs. Using Langchain, Ollama, HuggingFace Embeddings and scraping google search results.
User: lexiestleszek
Home Page: https://sova.fyi
rag-implementation,This RAG Streamlit app lets users chat with PDF documents using Gemini and Google's generative AI. Upload PDFs, process text, and get intelligent answers to your questions.
User: madhanmohanreddy2301
rag-implementation,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.
User: maxmlang
rag-implementation,This project is based on the Cocktail Recommendation System, which utilizes the Retrieval-Augmented Generation (RAG) approach to provide users with personalized cocktail recommendations based on their queries.
User: nandisoham
Home Page: https://cocktail.streamlit.app/
rag-implementation,A set of scripts to build a RAG from the videos of a YouTube channel
User: nbonamy
rag-implementation,real-time, multi-modal, vector embedding pipeline
Organization: nux-ai
Home Page: http://nux.ai
rag-implementation,A public repository for all things RAG (Retrieval Augmented Generation)
User: vladyashin
Home Page: https://iamvladyashin.com/projects/rag
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