A bit of JavaScript to fix your text rag for prepositions, small words, or emphasis, adapted to the French language

Discussed about 4 use-cases or case studies. Discussed about the approaches and significance of these use-cases as these are different from others. There are several approaches available which can be done using LLM but here the approaches and it's significance could bring insightful approaches towards it's execution.

Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.

The objective of this project is to create a chatbot that can be used to communicate with users to provide answers to their health issues. This is a RAG implementation using open source stack.

Building an assistant for Boletin Oficial del Estado (BOE) and others BOP's using Retrieval Augmented Generation (RAG)

"Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases" by Jiarui Li and Ye Yuan and Zehua Zhang

Ever thought of talking to your Email Inbox, like talking to a Real-human 😲. Well, you can do it completely on Device!! 🔥🔥🔥 No privacy issues. I used Chroma with Docker, Mistral-7B-Instruct, and Ollama.

Source code for the Gilded Age Gourmet, a cooking chat app based on the Boston Cooking-School Cook Book

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

Legal Assistant is an innovative application that leverages RAG (Retrieval-Augmented Generation) technology to deliver personalized legal advice and guidance based on Moroccan law.

List of experiments on Gen AI ecosystem

An AI-powered auto fill web extension to save time for researchers applying for grants using open source large language models (LLMs).

Development and evaluation of a Retrieval-augmented generation (RAG) system based on Cleantech Media Articles

🐶 PetCare AI Chatbot, powered by Langchain, Ollama, and Flask, utilizes RAG for context-aware answers from PDF documents.

This Python application creates a simple document assistant using Streamlit, pinecone (vector store) and a language model (openai) for generating responses to user queries.

Just training on langchain to improve RAG skills

Advancing the next generation of Retrieval Augmented Generation (RAG): A dynamic exploration of RAG technology's evolving landscape. This repository is the go-to resource for state-of-the-art developments, conceptual advancements, and the future trajectory of AI-driven information retrieval and generation.

This project created a custom ChatBot, called AdelphiLM, that allows you to query the LLM to ask about any question related to Adelphi University.

Genkit AI framework plugin for HNSW vector database. get AI response enriched with additional context and knowledge with HNSW Vector Database using RAG Implementation

A tutorial on how to build Summary Brief from Evaluation Report - Offline+Open Source