Mock sample: Pinecone Vector Database API
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- No language data
- Stars
- 35
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
Description
Create a mock sample for the Pinecone vector database API.
Why
- Popular vector database for RAG applications
- Growing use with LLM-powered apps
- API costs during development
- Enables testing semantic search without live index
Suggested endpoints to mock
- Upsert vectors
- Query (similarity search)
- Fetch vectors by ID
- Delete vectors
- Index statistics
- Error responses
Contributor guide
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
No files or tests are named. Review existing mock samples in the repository and the Dev Proxy mock format first, then define how Pinecone-style requests and responses should be represented. Done means the sample covers upsert, similarity queries, fetch, deletion, statistics, and representative error responses without requiring a live index.
Written by the indexing model from the issue text.
Assessment
- Domain
- databases, testing, tooling
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100