TechPrufer
Get started
Qdrant
Qdrant logoQdrant · Feature trail

Branch-Aware Semantic Code Search

1 post · Feb 2023 – Jul 2026

What this trail covers

Qdrant continues to enhance its capabilities for semantic code search by introducing branch-aware functionality. This allows users to scope vector search queries to specific Git branches, addressing the 'wrong-version problem' where a static index might return outdated information. The system indexes code by structural units and uses Git commit information to track versions, ensuring results are relevant to the user's current branch context. This capability is integrated with Qdrant's composable retrieval mechanisms.

All Qdrant trails
  1. Branch-Aware Semantic Code Search with Qdrant - QdrantThis post details the technical decisions and implementation strategies behind Qdrant's branch-aware semantic code search. It addresses the 'wrong-version problem' by explaining how to index code structurally (e.g., functions, classes) with stable identities, track versions across commits (handling overloads, moves, and renames), and keep the index synchronized with Git. The implementation uses payload filters to scope queries to a branch's live view, combining metadata filtering with vector search at query time. It demonstrates this with an example indexing Qdrant's own Rust codebase.
  2. Powering Bloop semantic code search - QdrantThis post details how Bloop uses Qdrant for semantic code search. It explains the problem of navigating large codebases and how semantic search with embeddings helps. Qdrant is highlighted as a performant and reliable vector search database that enables Bloop to keep its code search fast, accurate, and reliable, even for large codebases.