mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-05-28 19:53:06 +08:00
0580c137fa
### What problem does this PR solve? The SiliconFlow `Encode` method sent one HTTP request per text, which is wasteful and slow when indexing many documents (e.g., 100 docs = 100 round-trips). SiliconFlow's `/v1/embeddings` is OpenAI-compatible and accepts an array of strings in `input` (officially documented at https://docs.siliconflow.cn/en/api-reference/embeddings/create-embeddings, with a documented max array size of 32). This PR batches the requests up to that limit, reducing 100 docs to ~4 round-trips, and replaces `map[string]interface{}` parsing with a typed struct using the same 3-layer validation (count mismatch, out-of-range index, duplicate index) used in the other drivers. ### Type of change - [x] Performance Improvement