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anything-llm/server/storage/models
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Timothy Carambat 88cdd8c872
Add built-in embedding engine into AnythingLLM (#411) 
* Implement use of native embedder (all-Mini-L6-v2)
stop showing prisma queries during dev

* Add native embedder as an available embedder selection

* wrap model loader in try/catch

* print progress on download

* Update to progress output for embedder

* move embedder selection options to component

* forgot import

* add Data privacy alert updates for local embedder
2023-12-06 10:36:22 -08:00
..
.gitignore Add built-in embedding engine into AnythingLLM (#411) 2023-12-06 10:36:22 -08:00
README.md Add built-in embedding engine into AnythingLLM (#411) 2023-12-06 10:36:22 -08:00

README.md

Native models used by AnythingLLM

This folder is specifically created as a local cache and storage folder that is used for native models that can run on a CPU.

Currently, AnythingLLM uses this folder for the following parts of the application.

Embedding

When your embedding engine preference is native we will use the ONNX all-MiniLM-L6-v2 model built by Xenova on HuggingFace.co. This model is a quantized and WASM version of the popular all-MiniLM-L6-v2 which produces a 384-dimension vector.

If you are using the native embedding engine your vector database should be configured to accept 384-dimension models if that parameter is directly editable (Pinecone only).

Text generation (LLM selection)

in progress