CodeContext: Low-Latency Neural Code Search Engine

A production-grade retrieval system designed to navigate complex repositories using ColBERT for token-level semantic matching and Redis for sub-10ms cache hits.

ragatouilleredisfastapipython-astdockeropenllmetry

You'll build:

Neural Code Intelligence Engine

You'll master techniques:

  • Custom AST Parsing for structural code chunking and function-level indexing.
  • Late Interaction (ColBERT) for fine-grained, token-sensitive code search.
  • Semantic Caching (Redis) to accelerate recurrent architectural queries.
  • Evaluate performance with RAGAS and trace via OpenLLMetry to profile bottlenecks.
CodeContext: Low-Latency Neural Code Search Engine

The Project Kit