MegaBrain RAG Pipeline - Documentation¶

Version: 1.1.0
Last Updated: February 2026

What is MegaBrain?¶

MegaBrain is a scalable, self-hosted, intelligent code knowledge platform that indexes multi-language source code from various repositories and provides precise semantic search and natural language Q&A through a modern, reactive architecture.

Core Value Proposition¶

MegaBrain solves the problem of knowledge fragmentation across large, polyglot, and actively evolving codebases. It moves beyond simple text search by understanding code semantics and structure, providing developers with instant, context-aware answers about their own code.

Key Features¶

Semantic Code Search - Find code by meaning, not just keywords
Natural Language Q&A - Ask questions about your codebase in plain English
Multi-Language Support - Java, Python, C/C++, JavaScript/TypeScript, Go, Rust, Kotlin, Ruby, Scala, Swift, PHP, C#
Dependency Graph Analysis - Visualize and analyze code relationships
Documentation Intelligence - Extract and correlate documentation from code
Privacy-First - Fully self-hosted, supports offline operation with Ollama
High Performance - Sub-second query latency, millions of lines indexed daily
Multiple Interfaces - Web UI, CLI, REST API, and MCP Server

Problem Statement¶

The Problem: - Lost Context: Developers struggle to find specific implementations, API usage patterns, and documentation scattered across repositories - Inefficient Search: Traditional grep or IDE search lacks semantic understanding and cannot answer "how-to" questions - External Dependency Risk: Using general-purpose LLMs or external code assistants risks exposing proprietary code - Manual Overhead: Onboarding new team members requires extensive, manual code traversal

The Solution: MegaBrain creates a private, intelligent knowledge base of your codebase that enables semantic search and Q&A while keeping all data in-house.

Documentation Index¶

Document	Description
Getting Started	Prerequisites, installation, and verification
Architecture	Component architecture, packages, and data flow
Technology Stack	Backend and frontend technologies with versions
Implemented Features	Detailed documentation for all completed features
API Reference	REST API endpoints, parameters, and response formats
CLI Reference	Command-line interface usage and commands
Configuration Reference	All configuration properties with defaults
Development Guide	Coding standards, testing, git workflow, contributing
Deployment & Operations	Production build, system requirements, troubleshooting

Quick Links¶

New to MegaBrain? Start with the Getting Started guide
Setting up configuration? See the Configuration Reference
Integrating with the API? See the API Reference
Want to contribute? See the Development Guide

Project Documentation¶

Feature Specification - Complete feature specification
Epics Overview - All epics and their relationships
User Stories Backlog - User stories and sprint planning
User Setup Guide - Deployment and user configuration
Frontend README - Angular frontend documentation
Backend Benchmarks - Performance benchmarks

External Resources¶

Epic Documentation¶

License¶

This project is licensed under the MIT License - see the LICENSE file for details.

Support¶

For issues, questions, or contributions: - Open an issue on GitHub - Check existing documentation - Review epic and user story specifications

Last Updated: February 2026
Document Version: 1.1.0