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Release Notes

Current Release

Version: 1.3.2-rc1
Release Date: 17 Feb 2026

Features:

  • In VSS search mode, users can now filter results by time range via:
  • Query parsing to infer time ranges (e.g., "person seen in last 5 minutes").
  • Direct time range input from the UI.
  • Added live system performance metrics in the search UI (enable with export ENABLE_VSS_COLLECTOR=true).
  • Fixed the build script of the vdms-dataprep microservice.
  • Added telemetry collection of the application metrics for VDMS-dataprep microservice and VLM microservice at /telemetry endpoint.

HW used for validation:

  • Intel® Xeon® 5 + Intel® Arc™ B580 GPU
  • Vanilla Kubernetes Cluster

Known Issues/Limitations:

  • This release includes only limited testing on EMT‑S and EMT‑D, some behaviors may not yet be fully validated across all scenarios.
  • Video Summarization with mini_cpm model not working on Xeon® 5 and Xeon® 6 machines.
  • Occasionally, the VLM/OVMS models may generate repetitive responses in a loop. We are actively working to resolve this issue in an upcoming update.
  • HW sizing of the Video Search or Video Summarization pipeline is in progress. Optimization of the pipelines will follow HW sizing.
  • Known issues are internally tracked. Reference not provided here.
  • how-to-performance document is not updated yet. HW sizing details will be added to this section shortly.

Previous releases

Version: 1.3.1
Release Date: 20 Nov 2025

Features:

  • [VLM] Added cleanup helpers so every request releases OpenVINO infer requests; streaming responses call this once the event stream finishes to release resource and merge back the threads.
  • Sanity on user_override_variables.yaml file in VSS helm chart.
  • Updated the VLM, MME, VDMS-Dataprep docs to enable user to download public docker image and
  • added notes on embedding model selection for Helm charts.
  • Exposed the env variable MAX_CONTEXT_LENGTH to enable user to override this value for setting LLM model context length.
  • Trivy scan fixes for  audio-analyzer-microservice,  multimodal-embedding-microservice, pipeline-manager, vdms-dataprep, video-ingestion, video-search, vlm-openvino-serving.
  • Sanity on some deprecated field in helm which previously treat as Warning but now it have been treated as ERROR in latest helm version.
  • Removed failed search queries from search left column.
  • Fixed search UI checkbox selection/deselection issue.
  • Fixed VSS video upload streamable mp4 error message.
  • Documentations updates and some other required setup-script/code fixes to be able to build standalone Audio-Analyzer image and run/use it without any external dependency (like minio etc).
  • Updated image tags for various components and helm chart to version 1.3.1.

HW used for validation:

  • Intel® Xeon® 5 + Intel® Arc™ B580 GPU
  • Vanilla Kubernetes Cluster

Version: 1.3.1-rc1
Release Date: 14 Nov 2025

Features:

  • Update VSS Helm chart configurations and dependencies for updated microservice dataprep, MME, search-ms

    • Added environment variables for embedding model configuration in multiple YAML files.
    • Updated image tags for various components to version 1.3.1.
    • Enhanced deployment configurations for multimodal embedding and VDMS DataPrep.
    • Improved documentation for embedding model settings and deployment instructions.

  • Video_Summary: Link to Multimodal embedding models are missing in the getting started guide

  • Video_Search: Change in models with different embedding dimension results in no video search

  • Video_Summary: When Video search is deployed with embedding model as Blip2/blip2_feature_extractor, Multimodal embedding serving doesnt run

HW used for validation:

  • Intel® Xeon® 5 + Intel® Arc™ B580 GPU
  • Vanilla Kubernetes Cluster

Version: 1.3.0
Release Date: 14 Nov 2025

Features:

  • Enhanced Multimodal Embedding (MME) Microservice:

    • Implemented CLIP, CN-CLIP, MobileCLIP, SigLIP2, and BLIP2 model handlers to support by OpenVINO support.
    • Added model registry and factory pattern for creating model handlers based on configuration.
    • Introduced text-only Qwen3-embedding model family support.
    • Enabled dual runtime support: models can run using native PyTorch or OpenVINO runtime.
    • Microservice supports both API and SDK modes of operation for flexible integration.
    • Implemented utility functions for embedding text and images with support for base64 and URL inputs.
    • Created application-level EmbeddingModel class for high-level functionality, including video processing.

  • VDMS DataPrep Microservice Improvements:

    • Changed video processing mechanism to extract and store frames individually in vector store for more granular content capture.
    • Enabled object detection on frames to capture additional contextual information.
    • Implemented batched mode processing for video frame aggregation.
    • Integrated SDK mode consumption of MME microservice for reduced API overhead.
    • Enabled batching and parallel processing of frame batches to significantly reduce video consumption time.
    • Enhanced SDKVDMSClient to support dynamic detection of text and image embedding capabilities.
    • Updated simplified_embedding_helper to remove Qwen model dependencies and utilize SDK for text embeddings.
    • Modified user guide to reflect changes in embedding model settings and usage instructions.
    • Adjusted setup.sh to set OpenVINO performance mode to "THROUGHPUT" for better efficiency.
    • Added build script for VDMS DataPrep to build the .whl file at runtime for docker image build. and update documentation for usage.
    • Added detailed data flow documentation and other documentation updates.

  • Search-MS and VSS Application Enhancements (Search Mode):

    • Enabled frame-to-video aggregation for consolidated video search results.
    • Introduced configurable aggregation settings in common.py for fine-tuning search behavior.
    • Enhanced segment scoring algorithm with qualitative metrics based on peak and sustained quality.
    • Implemented scoring that considers frame quality and contextual proximity for improved relevance.
    • Exposed all result fine-tuning parameters via environment variables for user customization.
    • Added troubleshooting section for search results with embedding model changes

HW used for validation:

  • Intel® Xeon® 5 + Intel® Arc™ B580 GPU

Version: 1.2.3
Release Date: 31 Oct 2025

Features:

  • Enhanced helm configuration and deployment capabilities for GPU workloads, enabling better performance and flexibility.
  • Refreshed UI for a more intuitive and user-friendly experience, improving overall usability and navigation.
  • Updated to the latest supported OpenVINO Model Server (OVMS) version for improved stability and feature access.
  • Addressed issues flagged by Trivy and Dependabot scans to ensure stronger security and compliance.

HW used for validation:

  • Intel® Xeon® 5 + Intel® Arc™ B580 GPU
  • Vanilla Kubernetes Cluster

Version: 1.2.2
Release Date: 06 Oct 2025

Features:.

  • Enhanced Helm Chart with RWOnce support and additional stability improvements.
  • Introduced initial VSS CLI for streamlined command-line operations.
  • Enabled persistent embeddings in VDMS to maintain state across container restarts.
  • Implemented search result grouping by tags for improved organization and filtering.
  • Updated unit tests to cover new features and recent code changes.
  • Addressed vulnerabilities flagged by Trivy and dependabot scans.

Version: 1.2.1
Release Date: 29 Sept 2025

Features:

  • Unified search and summarization functionality for streamlined user experience.
  • New UI for new combined use case.
  • API updates to support combined use case.
  • Enhanced video management with support for tags on upload and search.
  • Improved text embedding capabilities within the MME service.
  • Introducing Search Alerts and Directory Watcher for proactive monitoring on search use-case.
  • TopK search results now available in the UI for faster result filtering
  • Helm Chart for the combined application.
  • All application containers now run in non-root mode.
  • Fix for high RAM consumption when the application is running in combined mode.
  • Bug Fixes: Resolved multiple issues from previous builds to ensure stability and performance.

HW used for validation:

  • Intel® Xeon® 5 + Intel® Arc™ B580 GPU
  • Vanilla Kubernetes Cluster

Known Issues/Limitations:

  • EMF and EMT are not supported yet.
  • RWOnce PVC access mode not supported.
  • Video Summarization with mini_cpm model not working on Xeon® 4 and Xeon® 6 machines.
  • Occasionally, the VLM/OVMS models may generate repetitive responses in a loop. We are actively working to resolve this issue in an upcoming update.
  • HW sizing of the Video Search or Video Summarization pipeline is in progress. Optimization of the pipelines will follow HW sizing.
  • VLM models on GPUs currently support only microsoft/Phi-3.5-vision-instruct.
  • The Helm chart presently supports only CPU deployments.
  • Known issues are internally tracked. Reference not provided here.
  • how-to-performance document is not updated yet. HW sizing details will be added to this section shortly.
  • In standalone search only mode, the tags feature on query is not working.
  • Sometimes during search, the response is not instantaneous. However, users can use the refresh button to fetch the results.
  • Directory Watcher service only supported in Search only mode.

Version: 1.2.0
Release Date: 04 August 2025 Features:

  • This is an incremental release on top of RC4.1 providing fixes for issues found on RC4.1 The notes provided under RC4.1 apply for this incremental release too.
  • Issues fixed are listed below:
    • Updated docker and helm to public registry.
    • Updated tags for the helm and docker images.
    • Sanity for deployment on EMT.
  • Limited support for EMT 3.0 based deployment. CPU-only configuration supported.
  • Images for all required microservices uploaded and available on Docker registry.

Version: RC4.1
Release Date: 29 July 2025 Features:

  • This is an incremental release on top of RC4 providing fixes for issues found on RC4. The notes provided under RC4 apply for this incremental release too.
  • Issues fixed are listed below:
    • Error message is displayed on the UI when invalid video is uploaded in both Video Search and Video Summarization modes.
    • Only mp4 format is supported currently. For other formats, error message is displayed on the UI.
    • Fix to ensure that the sample application can be shutdown in a terminal different from the one in which it was started.
    • A few minor documentation issues have been fixed.
    • Provided a means to manage the PVC in values.yaml file.
    • Fixed an issue where video summarization progress is kept in the pipeline manager service even if the specific video summary is deleted
    • Issues around tag handling for videos has been fixed.
    • Trouble shooting section updated with observed useful information.
    • Enabled a minimum configuration of Video Summarization to work on older Xeon configurations. Note that there is no official support for versions of Xeon earlier than Xeon 4.

Version: RC4
Release Date: 18 June 2025 Features:

  • Added Helm chart for Video Search and Summarization.
  • Streamlined microservices names and folder structure.
  • Updated documentation.
  • Reuse of VLM services with updates for Metro AI suite.
  • Addressed various issues and bugs from the previous builds.
  • Unified Video Search and Summarization Use Case: Integration of search and summarization capabilities into a single deployment experience. Users can select the use case deployment at runtime.
  • Elimination of Datastore Microservice Dependency: Simplified architecture by removing reliance on the datastore microservice.
  • Nginx Support: Added compatibility for both Helm and Docker Compose-based deployments.
  • Streamlined Build, Deployment and Documentation: Introduction of a setup script to simplify service build and deployment processes.

HW used for validation:

  • Intel® Xeon® 5 + Intel® Arc™ B580 GPU
  • Vanilla Kubernetes Cluster