Personal AI with persistent memory. Turns any LLM into an entity that remembers who you are, learns from your conversations, and grows over time. Local, private, yours.

RAG-based Question Answering system using LangChain, Groq LLM, and ChromaDB that processes PDFs and retrieves context-aware answers with source references.

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

A minimal, fully local Retrieval-Augmented Generation pipeline built from scratch. Covers document chunking, embedding with sentence-transformers, vector storage via ChromaDB, and LLM generation through Ollama.

RAG-based customer support assistant using LangGraph, ChromaDB, and Groq with human-in-the-loop escalation.

I understood in practical way and tried to explain same.

Agentic trend analysis system for app reviews using local vector embeddings and semantic deduplication.

Production RAG system using LangChain, ChromaDB, and GPT-3.5

🧭 Your AI compass for Kaggle. Analyzes competitions and suggests data-driven strategies using local RAG (Ollama/ChromaDB).

Offline-first, multilingual clinical AI for Community Health Workers in Africa — Gemma 4 + RAG over WHO & MSF guidelines