fix: support dense_vector from ES fields response (ES 9.x compatibility) (#13972)

fix: support dense_vector from ES fields response (ES 9.x compatibility)

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Configuration Chore (non-breaking change which updates
configuration)


## Summary by CodeRabbit

* **Bug Fixes**
* More accurate handling and unwrapping of dense-vector fields so
returned values have correct shapes.
* Field selection reliably limits returned data and falls back to
alternate result locations when needed.
* Use of consistent result IDs and tolerant handling when score values
are missing.

* **Chores / Configuration**
* Increased build memory and adjusted build-time flags for the frontend
build.
* Simplified runtime model/GPU checks and removed an automated runtime
GPU-install attempt.

* **Build Fixes**
* `web/vite.config.ts`: make `build.minify` and `build.sourcemap`
respect `VITE_MINIFY` and `VITE_BUILD_SOURCEMAP` env vars from
Dockerfile instead of hardcoding `terser` and `true`.

* **Environment**
* Allow stack version override and default the runtime image tag to
"latest".

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

* **Bug Fixes**
* Correct unwrapping of dense-vector fields and reliable field selection
with fallback locations.
* Consistent use of hit-level IDs and tolerant handling when score
values are missing.

* **Chores / Configuration**
* Increased frontend build memory and added build-time minify/sourcemap
flags; build minification and sourcemap now configurable.
* Removed runtime GPU detection for model initialization; force CPU
initialization.

* **Environment**
* Allow stack version override and default runtime image tag to
"latest".

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>

docker/.env

@@ -28,7 +28,7 @@ DEVICE=${DEVICE:-cpu}
 COMPOSE_PROFILES=${DOC_ENGINE},${DEVICE}
 
 # The version of Elasticsearch.
-STACK_VERSION=8.11.3
+STACK_VERSION=${STACK_VERSION:-8.11.3}
 
 # The hostname where the Elasticsearch service is exposed
 ES_HOST=es01
@@ -159,7 +159,7 @@ GO_ADMIN_PORT=9383
 API_PROXY_SCHEME=python # use pure python server deployment
 
 # The RAGFlow Docker image to download. v0.22+ doesn't include embedding models.
-RAGFLOW_IMAGE=infiniflow/ragflow:v0.24.0
+RAGFLOW_IMAGE=infiniflow/ragflow:latest
 
 # If you cannot download the RAGFlow Docker image:
 # RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v0.24.0