Agentic RAG
AST Parser
Code Intelligence

CodexLM

Completed
CodexLM

Overview

A high-performance research ecosystem designed to transform unstructured, multi-modal data sources into highly structured, actionable knowledge bases using retrieval-augmented generation.

Key Features

Multi-Modal Ingestion Pipeline: Full parsing and extraction support for complex file types including PDF, DOCX, PPTX, YouTube transcripts, and raw audio files.

Agentic RAG Engine: Combines semantic vector database embeddings with precise source-citation mapping, hallucination checks, and voice-to-text semantic search.

Creative Studio Suite: Automatically renders interactive slide decks, 3D animated flashcards, multiple-choice quizzes, and architectural logic diagrams based on the uploaded data.

Audio Briefings Generator: Auto-generates structured two-person dialogue scripts summarizing the research and renders hyper-realistic audio podcast files using specialized TTS voice models.