[jira] [Updated] (SOLR-17632) Text to Vector Update Request Processor
[ https://issues.apache.org/jira/browse/SOLR-17632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Alessandro Benedetti updated SOLR-17632: Fix Version/s: 9.9 > Text to Vector Update Request Processor > --- > > Key: SOLR-17632 > URL: https://issues.apache.org/jira/browse/SOLR-17632 > Project: Solr > Issue Type: New Feature > Components: UpdateRequestProcessors >Reporter: Alessandro Benedetti >Assignee: Alessandro Benedetti >Priority: Major > Labels: pull-request-available, vector-based-search > Fix For: 9.9 > > Time Spent: 6h 20m > Remaining Estimate: 0h > > Scope of this issue is to introduce support for automatic text vectorisation > in Apache Solr, directly in a update request processor. > A LLM fine-tuned for sentence similarity will be accessed to embed the text. > Apache Solr will host the configuration parameters to access embedding > services and the update request processor will use such services to directly > encode the document field as a vector. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
[jira] [Updated] (SOLR-17632) Text to Vector Update Request Processor
[ https://issues.apache.org/jira/browse/SOLR-17632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Alessandro Benedetti updated SOLR-17632: Labels: pull-request-available vector-based-search (was: pull-request-available) > Text to Vector Update Request Processor > --- > > Key: SOLR-17632 > URL: https://issues.apache.org/jira/browse/SOLR-17632 > Project: Solr > Issue Type: New Feature > Components: UpdateRequestProcessors >Reporter: Alessandro Benedetti >Assignee: Alessandro Benedetti >Priority: Major > Labels: pull-request-available, vector-based-search > Time Spent: 5h 50m > Remaining Estimate: 0h > > Scope of this issue is to introduce support for automatic text vectorisation > in Apache Solr, directly in a update request processor. > A LLM fine-tuned for sentence similarity will be accessed to embed the text. > Apache Solr will host the configuration parameters to access embedding > services and the update request processor will use such services to directly > encode the document field as a vector. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
[jira] [Updated] (SOLR-17632) Text to Vector Update Request Processor
[ https://issues.apache.org/jira/browse/SOLR-17632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SOLR-17632: -- Labels: pull-request-available (was: ) > Text to Vector Update Request Processor > --- > > Key: SOLR-17632 > URL: https://issues.apache.org/jira/browse/SOLR-17632 > Project: Solr > Issue Type: New Feature > Components: UpdateRequestProcessors >Reporter: Alessandro Benedetti >Assignee: Alessandro Benedetti >Priority: Major > Labels: pull-request-available > Time Spent: 10m > Remaining Estimate: 0h > > Scope of this issue is to introduce support for automatic text vectorisation > in Apache Solr, directly in a update request processor. > A LLM fine-tuned for sentence similarity will be accessed to embed the text. > Apache Solr will host the configuration parameters to access embedding > services and the update request processor will use such services to directly > encode the document field as a vector. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
