Backend Developers
~70 pages
Building RAG Systems for Codebases
Architecture, Tradeoffs, and Implementation - Why Standard RAG Fails on Code and What to Do Instead
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By Kelly Price
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About This Guide
This guide explains why standard RAG fails on code (vocabulary mismatch, fixed-size chunking, missing multi-hop context), then walks through the full production architecture: query processing, semantic + keyword + graph traversal retrieval, context assembly with token budgeting, and generation. Includes complete Python implementation examples and a production checklist.
Start Using the Pyckle Embeddings API
Build production RAG for your codebase
Use the techniques from this guide with Pyckle's code-specific embedding model.