Qodo-Embed-1-7B

Spotlight: Qodo Innovates Efficient Code Search with NVIDIA DGX

Qodo

Qodo, a multi-agent code integrity platform, built its AI agents on retrieval-augmented generation powered by a state-of-the-art code embedding model trained on NVIDIA DGX. Qodo fine-tuned two embedding models, Qodo-Embed-1-1.5B and Qodo-Embed-1-7B (based on Qwen), achieving state-of-the-art accuracy on the Hugging Face MTEB CoIR leaderboard in their size categories. In a collaboration with NVIDIA, Qodo's code indexer, RAG retriever, and embedding model were substituted into NVIDIA's internal RAG solution (Genie) for searching private code repositories, integrated into NVIDIA's internal Slack system, yielding more detailed and accurate responses to technical questions from expert C++ developers than the original pipeline, evaluated using Ragas-generated synthetic questions against RTXDI, RTXGI and RTXPT SDK repositories.