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feat: add Perplexity contextualized embeddings API as a new model provider (#13709)

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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
This commit is contained in:
tmimmanuel
2026-03-20 02:47:48 +00:00
committed by GitHub
parent 456b1bbf66
commit 13d0df1562
7 changed files with 441 additions and 16 deletions
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docs/guides/models/supported_models.mdx
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@ -46,6 +46,7 @@ A complete list of models supported by RAGFlow, which will continue to expand.
| OpenAI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| OpenAI-API-Compatible | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |
| OpenRouter | :heavy_check_mark: | :heavy_check_mark: | | | | | |
| Perplexity | | :heavy_check_mark: | | | | | |
| Replicate | :heavy_check_mark: | | | | :heavy_check_mark: | | |
| PPIO | :heavy_check_mark: | | | | | | |
| SILICONFLOW | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | |