devondragon / devondragon/SpringAIClient
Add support for embeddings API
Open
Nobody has claimed this yet.
- Dominant language
- Java
- Stars
- 1
- Forks
- 1
- Avg merge
- 1h 2m
- Merged PRs (30d)
- 3
Description
The library should support vector embeddings for semantic search and AI applications.
Proposed Changes
- Add support for OpenAI embeddings API
- Create appropriate DTOs for embedding requests/responses
- Add utility methods for common embedding operations
- Include examples of embedding usage
Benefits
- Enables semantic search capabilities
- Supports RAG and other advanced AI patterns
- Creates a more complete AI client library
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the existing Spring Boot client and its OpenAI support to determine the integration points for embeddings. Done should include embedding request and response DTOs, utility methods, and usage examples covering the proposed embeddings API support.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java, spring-boot
- Domain
- ai, api, backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100