Releases · smclab/openk9

Complete changelog

Refactored sorting

Improved handling for rejecting messages during enrichment

Migration from Elasticsearch to Opensearch

Added vector and hybrid query parser using Approximate k-NN search and Hybrid search

Schedule statuses revised. Added new statuses: STALE, FAILURE.

Added new pipeline for vectorization

New graphql endpoints to handle new admin ui experience

New sections to configure generative AI elements

Added score to search response

Integrated generative AI api to search frontend

Modified Search Query to support vector indices

Added file vault config source

Modifica richiesta Search Query per scelta indici

Various fixes

Docker images update using registry.access.redhat.com/ubi8/openjdk-17-runtime:1.20-3.1727147550 to fix vulnerabilities;

Bug fixes to better handle UI embedding

Fix types oracle

Complete changelog

Integrated the hibernate-reactive fork to implement the Multi-Tenancy Scheme
Refactored Datasource *K9Service and replaced use of TransactionInvoker (removed) with Mutiny.SessionFactory
Quarkus Cache implementation for rest and grpc api, used in search phase. Cache synchronized with Akka cluster
Updated Quarkus version 2.16.12.Final to fix vulnerabilities
Retry Policy of non-indexed messages, managed via RabbitMQ queues
Starting Job consumers in progress when nodes start
Ingestion scalability, now multiple messages from the same queue can be processed in parallel (default: 2 * num-nodes)
Various fixes
Added translations for configuration from the administration panel
Hugging Face integration (supported on Kubernetes and OpenShift only)
Accessibility improving
Tika optimizing
Docker images update using registry.access.redhat.com/ubi8/openjdk-17-runtime:1.18-2 to fix vulnerabilities;
Query Analysis new UI
Bug fixes to better handle UI embedding
Tenant UI refactoring

Docker images are available on Docker Hub at https://hub.docker.com/repositories/smclab