Django LLM Portal

AI-based search engine done right

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

This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.

Retrieval-Augmented Generation using Azure OpenAI

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

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

Locust Early Warning System(loews) project implementation(Locally)

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.

'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker

An Art-Deco bot that utilizes RAG. Benchmarking of RAG vs. LLMs on QA and timing

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

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

Super simple RAG supported HTML to web code generator

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

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

A proof-of-concept for a RAG to query the scikit-learn documentation

List of experiments on Gen AI ecosystem

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

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