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>

rag/graphrag/search.py

@@ -91,7 +91,7 @@ class KGSearch(Dealer):
         es_res = self.dataStore.get_fields(es_res, ["content_with_weight", "_score", "from_entity_kwd", "to_entity_kwd",
                                                    "weight_int"])
         for _, ent in es_res.items():
-            if get_float(ent["_score"]) < sim_thr:
+            if get_float(ent.get("_score", 0)) < sim_thr:
                 continue
             f, t = sorted([ent["from_entity_kwd"], ent["to_entity_kwd"]])
             if isinstance(f, list):
@@ -99,7 +99,7 @@ class KGSearch(Dealer):
             if isinstance(t, list):
                 t = t[0]
             res[(f, t)] = {
-                "sim": get_float(ent["_score"]),
+                "sim": get_float(ent.get("_score", 0)),
                 "pagerank": get_float(ent.get("weight_int", 0)),
                 "description": ent["content_with_weight"]
             }