# October 15: Support for Anthropic Claude models, Slack feeds and entity enrichment ### New Features * :fire: Graphlit now supports Anthropic Claude and Anthropic Claude Instant large language models. * :fire: Graphlit now supports Slack feeds, and will ingest Slack messages and linked file attachments from a Slack channel. Note, this requires the creation of a Slack bot which has been added to the appropriate Slack channel. * :bulb: Added support for entity enrichment to workflow object, which offers Diffbot, Wikipedia and Crunchbase enrichment of observed entities, such as Person, Organization and Place. * :bulb: Added support for text extraction from images. When using Azure Image Analytics for entity extraction, Graphlit will extract and store any identified text which then becomes searchable. * Added `embedFacets` property to conversation strategy in specification object. * Added `embedCitations` property to conversation strategy in specification object. This makes content citations optional with the completed conversation message. * Added GraphQL mutations for multi-delete of entities, such as `deleteCollections`, `deleteLabels`, or `deleteConversations`. * Added GraphQL `deleteAllConversations` mutation to delete all conversations. * Added support for automatically adding ingested content to one or more collections, via ingestion stage of workflow object. * Added `specification` property to preparation workflow stage, which will be used to select the LLM for text summarization. * Expanded the properties for observed entities, such as Person, Organization or Product. Now supports a wider range of properties for entity enrichment. ### Bugs Fixed * GPLA-1520: Unlimited conversation quota not assigned when upgrading project tier * GPLA-1285: Entity enrichment not firing event, which can be sent to actions * GPLA-1361: Web page left in ingested state, when URL not accessible. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://changelog.graphlit.dev/october-2023/october-15-support-for-anthropic-claude-models-slack-feeds-and-entity-enrichment.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.