Cost saving Cognitive Architecture for AI Agents. Infinite Context. Perfect Recall. Zero Hallucinations.

A progressive, script-based journey through Retrieval-Augmented Generation, from basic RAG to agentic, self-reflecting systems. Free-tier cloud stack, zero local model downloads.

This project is the broad level of AI Search on SQL which provides the visualisation as well from the response on your SQL database based on natural language query

Agentic RAG system using LangGraph, FAISS, and Gradio with self-correcting retrieval

An hybrid RAG system with BM25 + vector search, cross-encoder re-ranking, citation enforcement, and Ragas-based CI evaluation.