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.
- Updated
Jun 15, 2025 - Python
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.
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.
Self-Evolving RAG System with ChromaDB for continuous knowledge updates (6x daily), designed to overcome Large Language Model data cutoff limitations.
Enterprise-grade AI voice assistant with RAG-powered customer support, real-time phone integration, and advanced conversation management
🧮 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.
DiagnoAI: Medical RAG Assistant - Educational AI system for healthcare information retrieval using multi-source medical knowledge and advanced search. FOR LEARNING AND RESEARCH ONLY.
AI-powered research assistant with voice interaction, multimodal RAG, and intelligent routing. Explore academic papers effortlessly using LLMs & ChromaDB.
A multilingual Retrieval-Augmented Generation (RAG) system built for an assessment. It features text processing, intelligent document chunking, semantic search with multilingual embeddings, and conversation memory management. Leverages FastAPI, LangChain, and ChromaDB for efficient knowledge base querying.
Production-ready RAG system starter kit with local LLM inference, hybrid search, and intelligent document processing - deploy AI that learns from your knowledge base in minutes.
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