[DOCS] Updating release notes for Live Video Search (#2103)

Signed-off-by: Sebastian Golebiewski <sebastianx.golebiewski@intel.com>

Author: sgolebiewski-intel

metro-ai-suite/live-video-analysis/live-video-search/docs/user-guide/release-notes.md

@@ -1,22 +1,30 @@
-# Release Notes
+# Release Notes - Live Video Search
 
-## Current Release
+## Version 1.0.0
 
-**Version**: 1.0.0-rc1 \
-**Release Date**: 17 Feb 2026  
+**April 01, 2026**
 
-**Features**:
+Live Video Search is a new sample application which implements embedding and
+visual data ingestion microservices (available in
+[Edge AI Libraries](https://docs.openedgeplatform.intel.com/2026.0/ai-libraries.html))
+for processing RTSP camera streams and user query-based search. The application
+converts the input camera data to embeddings continuously, using models like Clip.
+The embeddings are stored in a Vector Database (VectorDB ) and enable search on
+live camera feed and historical video data.
+A rich UI is provided to configure the camera used for data ingestion, enter
+the search query, and view telemetry data, currently, for CPU, GPU, and memory
+utilization. The sample application introduces camera streaming with Frigate.
+
+**New**
 
 - Live Video Search stack integrating Smart NVR with VSS Search.
 - Time‑range filtering in search via UI or natural‑language query parsing.
 - Telemetry visualization in VSS UI for live system performance.
 
-**HW used for validation**:
-
-- Intel® Xeon® 5 + Intel® Arc™ B580 GPU
-
-**Known Issues/Limitations**:
+**Known Issues/Limitations**
 
 - Deploy with Helm is not yet supported for Live Video Search.
 - First‑time model downloads may take several minutes.
 - Time‑range queries require the clock and timezone on the host to be accurate.
+
+> *The application has been validated on Intel® Xeon® 5 + Intel® Arc™ B580 GPU.*