encoder-run/operator
Kubernetes operator for producing vector embeddings based on source code repositories.
This project helps engineering and MLOps teams automatically generate and maintain up-to-date vector embeddings for all their source code repositories. It takes source code as input and produces continually updated vector embeddings, ready for tasks like semantic code search, similarity checks, and Retrieval Augmented Generation (RAG). Teams managing internal developer platforms or AI/ML infrastructure will find this tool valuable.
No commits in the last 6 months.
Use this if you need a scalable and automated way to keep vector embeddings of your organization's source code repositories current within a Kubernetes environment.
Not ideal if you are looking for a simple, desktop-based solution for occasional, manual embedding generation outside of a Kubernetes cluster.
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50
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Language
TypeScript
License
Apache-2.0
Category
Last pushed
May 24, 2024
Commits (30d)
0
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