This AI Agent Analyzes Your ENTIRE Codebase in Minutes
AI Summary
The video showcases the Neo4j MCP tool used with the Neo4j knowledge graph ingest agent, demonstrating the powerful capabilities of the latest Gemini models with a 1 million token context window. The presenter shows how the system reads and analyzes a polyglot test directory containing multiple programming languages (Java, JavaScript, Python, SQL, etc.) and various file types, ingesting them all at once into the graph database. They highlight the importance of having the Neo4j database connection active for proper functionality. The tool dynamically builds and recalculates connections among various files and databases, visualizing complex relationships and dependencies across multiple languages and tables. The video also explains the iterative recursive thinking process Gemini uses to refine accuracy by re-evaluating data multiple times to ensure precise relationship mapping. The visuals depict an intricate web of interconnected files and APIs revealing the beauty and power of combining advanced AI with graph databases for software analysis.