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### What problem does this PR solve? Adds Perplexity contextualized embeddings API as a new model provider, as requested in #13610. - `PerplexityEmbed` provider in `rag/llm/embedding_model.py` supporting both standard (`/v1/embeddings`) and contextualized (`/v1/contextualizedembeddings`) endpoints - All 4 Perplexity embedding models registered in `conf/llm_factories.json`: `pplx-embed-v1-0.6b`, `pplx-embed-v1-4b`, `pplx-embed-context-v1-0.6b`, `pplx-embed-context-v1-4b` - Frontend entries (enum, icon mapping, API key URL) in `web/src/constants/llm.ts` - Updated `docs/guides/models/supported_models.mdx` - 22 unit tests in `test/unit_test/rag/llm/test_perplexity_embed.py` Perplexity's API returns `base64_int8` encoded embeddings (not OpenAI-compatible), so this uses a custom `requests`-based implementation. Contextualized vs standard model is auto-detected from the model name. Closes #13610 ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Documentation Update
Install front-end dependencies
npm install
Launch front-end
npm run dev
The following output confirms a successful launch of the system:
Login to RAGFlow web UI
Open your browser and navigate to:
http://localhost:9222 or http://[YOUR_MACHINE_IP]:9222
Replace [YOUR_MACHINE_IP] with your actual machine IP address (e.g., http://192.168.1.49:9222).
Login to RAGFlow web admin UI
Open your browser and navigate to:
http://localhost:9222/admin or http://[YOUR_MACHINE_IP]:9222/admin
Replace [YOUR_MACHINE_IP] with your actual machine IP address (e.g., http://192.168.1.49:9222/admin).
Shutdown front-end
Ctrl + C or
kill -f "umi dev"