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.

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