[Frontend] Rerank API (Jina- and Cohere-compatible API) (#12376)
Signed-off-by: Kyle Mistele <kyle@mistele.com>
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@@ -50,6 +50,11 @@ In addition, we have the following custom APIs:
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- Applicable to all [pooling models](../models/pooling_models.md).
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- [Score API](#score-api) (`/score`)
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- Only applicable to [cross-encoder models](../models/pooling_models.md) (`--task score`).
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- [Re-rank API](#rerank-api) (`/rerank`, `/v1/rerank`, `/v2/rerank`)
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- Implements [Jina AI's v1 re-rank API](https://jina.ai/reranker/)
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- Also compatible with [Cohere's v1 & v2 re-rank APIs](https://docs.cohere.com/v2/reference/rerank)
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- Jina and Cohere's APIs are very similar; Jina's includes extra information in the rerank endpoint's response.
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- Only applicable to [cross-encoder models](../models/pooling_models.md) (`--task score`).
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(chat-template)=
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@@ -473,3 +478,90 @@ The following extra parameters are supported:
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:start-after: begin-score-extra-params
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:end-before: end-score-extra-params
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```
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(rerank-api)=
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### Re-rank API
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Our Re-rank API applies a cross-encoder model to predict relevant scores between a single query, and
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each of a list of documents. Usually, the score for a sentence pair refers to the similarity between two sentences, on
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a scale of 0 to 1.
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You can find the documentation for these kind of models at [sbert.net](https://www.sbert.net/docs/package_reference/cross_encoder/cross_encoder.html).
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The rerank endpoints support popular re-rank models such as `BAAI/bge-reranker-base` and other models supporting the
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`score` task. Additionally, `/rerank`, `/v1/rerank`, and `/v2/rerank`
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endpoints are compatible with both [Jina AI's re-rank API interface](https://jina.ai/reranker/) and
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[Cohere's re-rank API interface](https://docs.cohere.com/v2/reference/rerank) to ensure compatibility with
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popular open-source tools.
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Code example: <gh-file:examples/online_serving/jinaai_rerank_client.py>
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#### Example Request
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Note that the `top_n` request parameter is optional and will default to the length of the `documents` field.
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Result documents will be sorted by relevance, and the `index` property can be used to determine original order.
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Request:
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```bash
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curl -X 'POST' \
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'http://127.0.0.1:8000/v1/rerank' \
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-H 'accept: application/json' \
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-H 'Content-Type: application/json' \
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-d '{
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"model": "BAAI/bge-reranker-base",
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"query": "What is the capital of France?",
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"documents": [
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"The capital of Brazil is Brasilia.",
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"The capital of France is Paris.",
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"Horses and cows are both animals"
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]
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}'
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```
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Response:
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```bash
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{
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"id": "rerank-fae51b2b664d4ed38f5969b612edff77",
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"model": "BAAI/bge-reranker-base",
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"usage": {
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"total_tokens": 56
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},
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"results": [
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{
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"index": 1,
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"document": {
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"text": "The capital of France is Paris."
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},
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"relevance_score": 0.99853515625
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},
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{
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"index": 0,
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"document": {
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"text": "The capital of Brazil is Brasilia."
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},
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"relevance_score": 0.0005860328674316406
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}
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]
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}
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```
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#### Extra parameters
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The following [pooling parameters](#pooling-params) are supported.
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```{literalinclude} ../../../vllm/entrypoints/openai/protocol.py
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:language: python
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:start-after: begin-rerank-pooling-params
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:end-before: end-rerank-pooling-params
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```
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The following extra parameters are supported:
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```{literalinclude} ../../../vllm/entrypoints/openai/protocol.py
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:language: python
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:start-after: begin-rerank-extra-params
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:end-before: end-rerank-extra-params
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```
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