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ragflow/internal
Panda Dev 6794ad2f70 Go: implement Embed (embeddings) in Novita driver (#14895)
### What problem does this PR solve?

Fixes #14893

The Novita Go driver landed in #14850 and shipped a stub `Embed` method
that returned `"novita, no such method"`, so Novita could not be used as
an embedding provider in RAGFlow. This PR fills that gap.

Novita exposes a public embeddings endpoint at `POST
https://api.novita.ai/v3/embeddings` that accepts the standard
OpenAI-compatible request shape (`{model, input}`) with `Authorization:
Bearer <api_key>`. Two embedding models are documented in Novita's model
library: `baai/bge-m3` (multilingual, 8192 tokens) and
`baai/bge-large-en-v1.5`.

### Changes

- `internal/entity/models/novita.go`: implement `NovitaModel.Embed`.
- Validate inputs (api key, model name) and short-circuit on empty
texts.
  - Resolve region with the existing `baseURLForRegion` helper.
- Build URL from `URLSuffix.Embedding` (the embeddings path lives under
`/v3/`, separate from the chat path under `/openai/v1/`).
- Send `{model, input}` POST body, add `dimensions` when
`embeddingConfig.Dimension > 0` (matches the pattern in #14735).
  - Bearer auth + JSON content type, mirroring the chat path.
- Parse `{data: [{embedding, index}]}` and reorder by `index`, rejecting
out-of-range indices, duplicates, and missing entries so the output
always lines up with the input. Same shape as the merged Mistral and
Upstage Embed implementations.
- `conf/models/novita.json`:
  - Add `"embedding": "v3/embeddings"` to `url_suffix`.
- Add default embedding model entries for `baai/bge-m3` and
`baai/bge-large-en-v1.5` so they appear in the model picker.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-18 12:02:28 +08:00
..
2026-05-09 17:41:54 +08:00
2026-03-23 15:40:35 +08:00