AI Semantic Code Search using Endee Vector Database

[GitNinja4]

This pull request adds an AI-powered semantic code search system built on top of the Endee vector database.

The implementation indexes source code from repositories, splits the code into chunks, generates embeddings using Sentence Transformers, and stores those embeddings in the Endee database. Using vector similarity search, users can query the system with natural language and retrieve relevant code files based on semantic meaning rather than exact keyword matches.

The main components implemented include:

• Repository loader to clone repositories
• Code parser to extract and chunk source code files
• Embedding generation using Sentence Transformers
• Vector indexing and storage in Endee
• Semantic search functionality for retrieving relevant code

This enables more intelligent code search compared to traditional keyword-based approaches.