AI any text or file clusterer & sorting

AI any text or file clusterer & sorting

A RAG application for East West University (Only Science Faculty)

GPU constrained! No More. Microsoft released Phi3 specially designed for memory/compute constrained environments. The model support ONXX CPU runtime which offers amazing inference speed even on mobile cpu.

A Retrieval-Augmented Generation (RAG) using Llama Model Fine Tune - The system that extracts and embeds Cirebon cuisine knowledge into a PostgreSQL database with pgvector, enabling efficient retrieval and contextual responses using FastAPI and Docker.

"Ask your PDF" ChatBot : Streamlit App, LangChain, llama3, Nomic embeddings

Simple agents are good for 1-to-1 retrieval system. For more complex task we need multi steps reasoning loop. In a reasoning loop the agent can break down a complex task into subtasks and solve them step by step while maintaining a conversational memory.

SOC Analyst Automation using a RAG model integrates a knowledge retrieval system with generative AI to automate SOC Level-1 tasks. It processes server logs, retrieves relevant security insights, and generates accurate responses, enhancing incident analysis, reducing response times, and improving efficiency in handling cybersecurity threats through

Implementing a local RAG pipeline that processes PDFs and lets users query information from these documents using LLMs.

An intelligent research assistant that combines vector search and LLMs to help you interact with your research papers through natural language queries and receive structured, context-aware responses.

A Retrieval-Augmented Generation (RAG) pipeline for laptop-related issues using Langchain and Chroma DB