grepai-embeddings-openai
CommunityOpenAI embeddings for GrepAI quality.
Authoryoanbernabeu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GrepAI users need a reliable, cloud-based embedding provider to generate high-quality vector representations for code and text, enabling accurate semantic search without maintaining local embedding infrastructure.
Core Features & Use Cases
- OpenAI-based embeddings: Configure GrepAI to use OpenAI as the embedding provider for high-quality results.
- Model options: Choose models like text-embedding-3-small or text-embedding-3-large to balance cost and accuracy.
- Operational flexibility: Support for environment-based API keys, parallelism, and Azure OpenAI deployments for enterprise setups.
- Use Case: Index large codebases or repositories and improve semantic search accuracy across languages and formats.
Quick Start
Install and configure the OpenAI embedding provider in GrepAI. Set the environment variable OPENAI_API_KEY, choose a model, and start indexing your project with GrepAI.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: grepai-embeddings-openai Download link: https://github.com/yoanbernabeu/grepai-skills/archive/main.zip#grepai-embeddings-openai Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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