Embeddings model
An "embeddings model" is trained to convert a piece of text into a vector, which can later be rapidly compared to other vectors to determine similarity between the pieces of text. Embeddings models are typically much smaller than LLMs, and will be extremely fast and cheap in comparison.
In Continue, embeddings are generated during indexing and then used by @Codebase to perform similarity search over your codebase.
transformers.js
is used as a default embeddings model in VS Code. In JetBrains, there currently is no default.
The free trial supports embeddings (provider: free-trial
)
Recommended embedding models
If you have the ability to use any model, we recommend voyage-code-3
, which is listed below along with the rest of the options for embeddings models.
If you want to generate embeddings locally, we recommend using nomic-embed-text
with Ollama.
Voyage AI
After obtaining an API key from here, you can configure like this:
{
"embeddingsProvider": {
"provider": "voyage",
"model": "voyage-code-3",
"apiKey": "<VOYAGE_API_KEY>"
}
}
Ollama
See here for instructions on how to use Ollama for embeddings.
Transformers.js (currently VS Code only)
Transformers.js is a JavaScript port of the popular Transformers library. It allows embeddings to be calculated entirely locally. The model used is all-MiniLM-L6-v2
, which is shipped alongside the Continue extension.
{
"embeddingsProvider": {
"provider": "transformers.js"
}
}
Text Embeddings Inference
Hugging Face Text Embeddings Inference enables you to host your own embeddings endpoint. You can configure embeddings to use your endpoint as follows:
{
"embeddingsProvider": {
"provider": "huggingface-tei",
"apiBase": "http://localhost:8080"
}
}
OpenAI
See here for instructions on how to use OpenAI for embeddings.
Cohere
See here for instructions on how to use Cohere for embeddings.
Gemini
See here for instructions on how to use Gemini for embeddings.
Vertex
See here for instructions on how to use Vertex for embeddings.
Mistral
See here for instructions on how to use Mistral for embeddings.
NVIDIA
See here for instructions on how to use NVIDIA for embeddings.
Bedrock
See here for instructions on how to use Bedrock for embeddings.
WatsonX
See here for instructions on how to use WatsonX for embeddings.
LMStudio
See here for instructions on how to use LMStudio for embeddings.