Llama2-Medical-Chatbot is a medical chatbot that uses the Llama-2-7B-Chat-GGML model and the pdf The Gale Encyclopedia of Medicine, Volume 1, 2nd Edition. It is still under development, but it has the potential to be a valuable tool for patients, healthcare professionals, and researchers.

The Llama-2-GGML-CSV-Chatbot is a conversational tool leveraging the powerful Llama-2 7B language model. It facilitates multi-turn interactions based on uploaded CSV data, allowing users to engage in seamless conversations.

To make LLM faster we need faster retrieval system. Here comes Embedding Quantization. Embedding quantization is great technique to save cost on Vector DB, significantly faster retrieval while preserving retrieval performance.

A Semantic A* Pathfinding agent that navigates Wikipedia using high-dimensional vector space. Built with Python, BeautifulSoup4, and Sentence-Transformers to bridge unrelated concepts through semantic context rather than just keywords.

MediChat: An AI-powered medical chatbot using the Llama-2-7B-Chat model for precise clinical responses. Integrates Chroma DB and all-MiniLM-L6-v2 embeddings trained on medical literature, including texts like Clinical Emergency Medicine and Gale Encyclopedia. Accurate, fast, and reliable for healthcare queries.

This project showcases how to use AWS Lambda Managed Instances with AI/ML capabilities for real-time customer analytics

NLP for yaskawa robot

This repo contains codes for RAG using docling on colab notebook with langchain, milvus, huggingface embedding model and LLM

A RAG to deal with multiple documents simultaneously using Weaviate, Mistral-7B-v0.1 and Langchain.

Scrapping products from well known e-com. sites like Amazon, Flipkart and Myntra. This tool allows to scrape and compare the products with information like price, delivery, image, company, revirews etc.

Implementing Vector Database on CoNaLa dataset to retrieve program snippets relevant to user queries. This is a very simple simulation of a Vector Database.

Run Ai models on your desktop without internet

Agentic HR Operations Assistant is an NLP-powered system that answers complex HR policy queries using RAG and executes HR actions from natural language.

Blazing fast NPCs with Spatio-Temporal awareness inside Unreal Engine

The project uses Memory Based- RAG for healthcare queries, searching FAISS vector database for relevant answers. If no results are found, an AI fallback mechanism steps in. The AI Agent employs Selenium headless drivers, automation, web scraping, etc techniques to enhance search efficiency, ensuring accurate, real-time responses.

AI-Powered Research Assistant – A smart tool that helps researchers find relevant papers, recommend journals, ask questions about content, humanize AI text, and detect AI-generated writing. Powered by Large Language Models for enhanced research productivity.

An AI-powered web platform that uses RAG and LLMs to generate personalized interview prep sheets and candidate-job fit analysis. Built with FastAPI, LangChain, FAISS, and Next.js.

AI Assistant

👽SFSeeker - an AI assistant with a semantic engine/question writing tutor in Sci-Fi Stack Exchange service