Release Notes#

Current Release#

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

Known Issues/Limitations:

  • EMF and EMT are not supported yet.

  • 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.

  • 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.

  • 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.

Previous releases#

Version: rc1.3.2
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 1.3.0.

    • 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.

Previous releases#

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