Error getting context items from docs: Schema Error: no vector column found to create index (when using Voyage-2-code embeddings provider)
Before submitting your bug report
- [X] I believe this is a bug. I'll try to join the Continue Discord for questions
- [X] I'm not able to find an open issue that reports the same bug
- [X] I've seen the troubleshooting guide on the Continue Docs
Relevant environment info
- IDE: VS Code
- Model: voyage-code-2
- config.json:
"embeddingsProvider": {
"provider": "openai",
"model": "voyage-code-2",
"apiBase": "https://api.voyageai.com/v1/",
"apiKey": "12345-embedding-key-same-as-reranker-key"
},
"reranker": {
"name": "voyage",
"params": {
"model": "rerank-lite-1",
"apiKey": "12345-embedding-key-same-as-reranker-key"
}
}
}
### Description
Whenever I add a document, I am told it was indexed successfully. However, as soon as I try to reference it in a prompt, I get:
"Error getting context items from docs: Error: Schema Error: no vector column found to create index"
### To reproduce
1. Set up embeddings provider in config.json to use voyage ai as per documentation
2. Add a documentation site via url via '@' in the prompt chat box
3. Error should appear, and documentation will not be added to context
### Log output
_No response_
Hi @learningdesignlabs , hopefully this PR resolves the issue: https://github.com/continuedev/continue/pull/1864
We will be shipping a pre-release in the next day or two that includes the fix. Please let me know if it solves the issue for you!
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This issue was closed because it wasn't updated for 10 days after being marked stale. If it's still important, please reopen + comment and we'll gladly take another look!