For supported Kubernetes versions and key component versions, see Platform support and component versions.
Key highlights
Consumption and entitlement updates
The Consumption Dashboard is enhanced to make consumption tracking more accurate for entitlement monitoring. The Consumption dashboard uses graphs to visually track request and document usage against the allotted consumption for your Managed Fusion license. The hover interaction for requests per pipeline graphs now displays a sortable list of pipelines to make it easier to analyze pipeline-level consumption. Pipelines in a requests per pipeline graph can be sorted in the following ways:- Value descending: sort pipelines according to number of requests from most to least.
- Value ascending: sort pipelines according to number of requests from least to most.
- Alphabetically ascending: sort by pipeline name from A to Z.
- Alphabetically descending: sort by pipeline name from Z to A.
Sortable requests per pipeline graph
New Retrieval-Augmented Generation (RAG) query stage
Lucidworks continues expanding RAG capabilities that improve the quality and accuracy of LLM-powered retrieval workflows. Documents that require chunking tend to be large and cover multiple topics. Queries return an answer that links to the document, but the answer does not show exactly where to find that information in the document. A Chunking RAG Bridge Query Stage is introduced to evolve RAG from document-level retrieval to chunk-level precision. With this new stage, each cited source that accompanies a RAG answer also provides a link to the relevant document along with a snippet containing information about where to find the content in the document.New Batch Vectorize index stage
Fusion 5.9.15 introduces an LWAI Batch Vectorize Index Stage for AI pipelines. This works the same as the LWAI Vectorize Field stage but delivers faster indexing throughput because it processes your documents in batches before sending those documents to the next stage in your index pipeline. The LWAI Batch Vectorize stage can improve document indexing performance up to ten times the rate of the LWAI Vectorize Field stage. The LWAI Vectorize stage processes documents one at a time.
Flowchart for single document processing
Flowchart for batch document processing
Configurable properties added:
Configurable properties added:
Restrictive mode for query pipelines
Managed Fusion 5.9.15 introduces restrictive mode, giving you more control and security over query pipelines. When you enable restrictive mode, Fusion enforces stricter query parameter validation and sanitization, blocking unsafe inputs and limiting potentially expensive operations. This update makes your search environment more secure and reliable. See Restrictive Mode for complete details about how restrictive mode works and how to enable it.Managed Fusion Admin UI updates
Several updates to the Managed Fusion Admin UI improve safety and usability:-
A description is added to the JSON Facets stage, clarifying its purpose.
-
UI labels are added for Ray model deployment jobs, grouping them under “Model Deployment Jobs” for clarity and discoverability.
-
The Asynchronous Execution Config checkbox for the AI pipeline stages is now properly aligned with its label for better visual consistency and user experience.
Naming conventions for AI-generated fields
Fields generated by Lucidworks AI now include a prefix oflwai_ when indexed to Solr, making it easier to identify those fields when excluding them or using them for other tasks, such as rules, queries, or reports. Any field names previously generated are still supported and no changes are needed to continue using them.
Bug fixes
- Added a custom module that serializes Nashorn
undefinedvalues as JSONnull, preventing serialization errors when such values appear in Java objects. When using the OpenJDK version of Nashorn, an exception was thrown when the context contained keys with undefined JavaScript values. This exception occurred because the class for the undefined values was not visible outside of the OpenJDK Nashorn package. A custom object mapper is added for the class so serialization issues are now resolved when handlingundefinedin JavaScript pipeline to run reliably under Java 17. - Time zone conversion issues are fixed in the Consumption Dashboard that caused counts to span extra days. Local times were being converted to UTC, creating an overlap that included counts for both the selected day and the following day. Removing this conversion and using only the local time ensures accurate daily totals for entitlement reporting.
- Addressed an issue where jobs are stuck in a running state during an upgrade. Allowing all crawl jobs to complete before performing Managed Fusion upgrades is necessary to maintain data integrity and prevent invalid job states. Now requests to stop jobs during an upgrade process are enhanced to check for invalid states, attempt automatic fixes, and provide detailed status messages.
- Adjusted license checks when apps-manager is unavailable for consistent and predictable license validation behavior. In previous releases, if apps-manager was unavailable or license capabilities could not be verified, the license check could not complete. The addition of broader exception catching when retrieving license capabilities and improved error logging for service unavailability ensures predictable capability behavior while connectivity is restored.
- Fixed a permissions flow in the Fusion indexing path used by V2 connectors. REST calls made from index pipelines using V2 connectors were running without the required permissions. This returned insufficient permissions errors and skipped mapped fields. REST calls in index pipelines now execute as expected when using the required privileges.
- Fixed an error where the Tika asynchronous parser in Fusion 5.9.12 did not index the body field for SharePoint connector documents, such as DOCS, PPTX, and XLSX files. Documents were split into multiple parts, so the body content only ended up in child documents, while the parent document lacked the body field. Now the first parsed part of the document is sent to Fusion using the parent document ID so the body field merges into the expected parent document. This restores expected content extraction and preserves child parts for images and other embeds.
Security
Base images for Managed Fusion are updated from Alpine 3.15.0 to 3.21.0, reducing the number of CVEs from 71 to 0.Deprecations
For full details on deprecations, see Deprecations and Removals.Deprecated jobs
The following jobs are deprecated in this release and will be removed in a future release: Lucidworks recommends migrating to Neural Hybrid Search, which achieves superior relevance compared to these legacy machine learning methods. Rules previously generated by these jobs and promoted to the_query_rewrite collection will remain until you delete them.
Platform Support and Component Versions
Kubernetes platform support
Lucidworks has tested and validated support for the following Kubernetes platform and versions:- Google Kubernetes Engine (GKE): 1.29, 1.30, 1.31, 1.32, 1.33
Component versions
The following table details the versions of key components that may be critical to deployments and upgrades.| Component | Version |
|---|---|
| Solr | fusion-solr 5.9.15 (based on Solr 9.6.1) |
| ZooKeeper | 3.9.1 |
| Spark | 3.4.1 |
| Ingress Controllers | Nginx, Ambassador (Envoy), GKE Ingress Controller |
| Ray | ray[serve] 2.46.0 |