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plugin-embed-web-client

v1.1.8

Published

7 hours ago

Private/offline browser-side document chunking and embedding for Knowledge Base using bundled ONNX models via @huggingface/transformers.

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AI knowledge-base embedding ONNX transformers

plugin-embed-web-client

Overview

Private/offline browser-side document chunking and embedding for Knowledge Base using bundled ONNX models via @huggingface/transformers. The plugin ships with Xenova/all-MiniLM-L6-v2 q8, so a browser can load the model from the NocoBase server without internet access.

Features

Client-Side Processing: The user's browser chunks documents and computes passage embeddings.
Bundled Lite Model: Includes a small 384-dimensional MiniLM ONNX model under public/models.
Private Runtime: Browsers fetch model files only from the NocoBase server, not HuggingFace/CDN.
Server Storage/Search: The server validates and stores pre-computed vectors, then uses the same local ONNX profile for RAG query embeddings.

Usage

Enable the plugin.
In Knowledge Base infrastructure, use a vector store backed by PGVector.
Create a Knowledge Base with type WEB_CLIENT_EMBED.
When users upload supported text files, their browser loads the bundled/uploaded ONNX model from this NocoBase server, chunks the text, computes embeddings, and uploads only the chunks plus vectors for storage.