Enhance AI coding with state- of-the-art code embedding
Qodo-Embed-1 is a family of large-scale embedding models to significantly enhance context retrieval for code-related tasks.
Code embedding
AI-powered coding isn’t just about generating new code—it’s about understanding, retrieving, and working with existing code efficiently. Code embeddings transform complex codebases into structured, searchable representations, enabling AI to find relevant snippets, improve context awareness, and power smarter developer tools.
The Qodo-Embed-1 Model Family
Qodo-Embed-1-1.5B
1.5B Parameters
Open weights
Qodo-Embed-1-7B
7B Parameters
Commercial License
Enable code search and retrieval
Find and retrieve relevant or similar code to queries from large repositories
Enhance contextual awareness
Improve AI-generated code accuracy with relevant context
Natural language-to-code & code-to-code understanding
Convert natural language into code and match similar logic across language
Qodo-Embed outperforms leading code embedding models.
Benchmarked on COIR benchmark, designed for retrieval tasks.
