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RAG implemented from scratch without using LangChain and LangGraph - designed specifically for processing and querying PDF documents with advanced support for visual content like tables, charts, and mathematical formulas.
An AI-powered crypto analytics platform integrating forecasting, sentiment, and on-chain intelligence, built with FastAPI, MCP protocol, and MLflow in a monolithic architecture.
Turn any LLM into a self-extending knowledge agent powered by a graph-structured memory - complete with PDF-to-graph ingestion, budget-aware optimisation, and dual-engine orchestration.
🧮 PINN Enterprise Platform - AI-Powered Physics Simulations with CopilotKit-style Research Canvas UI. Complete serverless architecture with RAG-powered code generation, 3D visualization, and global edge deployment.
Terminal-based platform where specialized AI experts (Legal, Tech, Business) engage in real-time debates and collaborative problem-solving to provide multi-perspective analysis for complex decisions.
Agentic personal medical assistant that reasons over medical data using multi-agent orchestration, with leveraging mutiple ML/DL pre-trained models, with addition to relational and vector databases.
A retrieval-augmented generation pipeline in Python with a rigorous offline evaluation harness. Chunks and embeds documents, retrieves by vector similarity, and generates grounded answers — with pluggable LLM providers (including a deterministic local fake for tests) and metrics for retrieval quality and answer faithfulness. No API key required.
Production-ready intelligent knowledge management system built with LlamaIndex. Enables organizations to query, analyze, and extract insights from multiple data sources (documents, databases, APIs) through natural language using advanced RAG capabilities, multi-tenant architecture, and specialized query engines: SQL generation /intelligent routing.
Multi-agent AI system combining RAG, web search, fact-checking, and synthesis to produce well-cited research reports. Demonstrates agentic design patterns in action.
Syllabus-aware RAG study assistant for university students. Answers strictly from your own notes & PDFs, unit-scoped retrieval, cross-encoder reranking, and a hallucination gate — built to help students score, not just learn.
DiagnoAI: Medical RAG Assistant - Educational AI system for healthcare information retrieval using multi-source medical knowledge and advanced search. FOR LEARNING AND RESEARCH ONLY.