Files
ragflow/test
Andras BARTHA 7c455fba18 fix(opensearch): stop zeroing vector scores by mapping similarity to knn boost (#18662)
### Summary

Fix OpenSearch retrieval returning `vector_similarity = 0.000` for every
chunk when hybrid search is enabled.

On the OpenSearch backend, retrieval uses a second KNN-only search
(`Dealer._knn_scores()`) to recover per-chunk cosine scores for
reranking. That pass intentionally sends `MatchDenseExpr(...,
{"similarity": 0.0})` to mean “no minimum similarity cutoff.”

However, `OSConnection.search()` was incorrectly mapping `similarity` to
the KNN clause `boost` field:

```python
knn_query[vector_column_name]["boost"] = similarity
```

With `similarity=0.0`, this produced `boost=0.0`, which zeroed out KNN
`_score` values. `get_scores()` then returned `0.0` for every hit, so
`vector_similarity` was always zero and hybrid ranking ignored the
vector component — with no exception raised.

This is separate from the `get_scores()` `AttributeError` crash
addressed in #14970 / #15390; here retrieval succeeds but vector scores
are silently lost.
2026-08-24 11:59:44 +08:00
..


(1). Deploy RAGFlow services and images

https://ragflow.io/docs/build_docker_image

(2). Configure the required environment for testing

Install Python dependencies (including test dependencies):

uv sync --python 3.13 --only-group test --no-default-groups --frozen

Activate the environment:

source .venv/bin/activate

Install SDK:

uv pip install sdk/python

Modify the .env file: Add the following code:

COMPOSE_PROFILES=${COMPOSE_PROFILES},tei-cpu
TEI_MODEL=BAAI/bge-small-en-v1.5
RAGFLOW_IMAGE=infiniflow/ragflow:v0.27.0 #Replace with the image you are using

Start the containerwait two minutes:

docker compose -f docker/docker-compose.yml up -d


(3). Test Elasticsearch

a) Run sdk tests against Elasticsearch:

export HTTP_API_TEST_LEVEL=p2
export HOST_ADDRESS=http://127.0.0.1:9380  # Ensure that this port is the API port mapped to your localhost
pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api

b) Run http api tests against Elasticsearch:

pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api


(4). Test Infinity

Modify the .env file:

DOC_ENGINE=${DOC_ENGINE:-infinity}

Start the container:

docker compose -f docker/docker-compose.yml down -v
docker compose -f docker/docker-compose.yml up -d

a) Run sdk tests against Infinity:

DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api

b) Run http api tests against Infinity:

DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api