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

server/storage/models/README.md

@@ -0,0 +1,13 @@
+## 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](https://huggingface.co/Xenova/all-MiniLM-L6-v2). This model is a quantized and WASM version of the popular [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/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_