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OASIS Code Embedding 1.5B

Developed by Kwaipilot
OASIS is a state-of-the-art code embedding model developed by Kwaipilot, integrating repository-level program analysis, the OASIS-instruct data synthesis algorithm, and a specialized fusion loss function, setting new benchmarks in code search efficiency and accuracy.
Downloads 4,576
Release Time : 3/11/2025

Model Overview

OASIS is an embedding model optimized for code retrieval systems, excelling in semantic understanding and retrieving code snippets across different programming environments.

Model Features

Repository-level Program Analysis
Enhances understanding of code context by analyzing entire code repositories.
OASIS-instruct Data Synthesis
Uses a proprietary algorithm to generate high-quality training data, improving model generalization.
Specialized Fusion Loss Function
Optimizes the training objective function to enhance code search accuracy.
Multi-language Support
Supports code embedding and retrieval for multiple mainstream programming languages.

Model Capabilities

Code Semantic Understanding
Code Snippet Retrieval
Code Similarity Calculation
Cross-language Code Search

Use Cases

Development Tools
Code Search Engine
Builds a semantic-based code search system.
Achieves state-of-the-art performance on multiple benchmarks.
Code Recommendation System
Recommends relevant code snippets to developers.
Improves developer productivity.
Education
Programming Learning Aid
Helps students find and understand relevant code examples.
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