> For the complete documentation index, see [llms.txt](https://docs.euno.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.euno.ai/support-resources/release-note/august-2026.md). # August 2026 ### New Features [Euno Slack Assistant](/ai/slack-assistant.md) — ask Euno questions directly from Slack, with /euno slash commands, persona selection, and catalog resources rendered as clickable deep links. [AI Metadata Tagging](/using-euno/metadata-activation/metadata-tags/creating-metadata-tags-with-ai.md) — create all types of Metadata Tags directly through the Euno Assistant or through MCP. [Skills Generator](/ai/skills.md) — author and manage your own Euno-based skills Semantic Search V2 — complete redesign of our semantic search capability, providing increased accuracy and speed. [Custom Workflow Scripts](/using-euno/metadata-activation/workflows.md) — account-scoped custom scripts can now run inside Workflows. Speak with your account manager for additional details. [Local Agent Secret Handles](/setup-configuration/account-settings/local-agents.md) — the Local Networking Agent now support Azure Key Vault for password management, avoiding having to store them in Euno. Euno Dashboards — in addition to a facelift, the backbone of the dashboarding tool has been improved for faster load and response times. ### Integration Improvements #### Tableau * Column-level lineage through Tableau flows * Published data sources and file-based inputs (flat files, spreadsheets, extracts) recognized as flow inputs #### Snowflake * EXTERNAL TABLE objects crawled, enabling dbt source co-sponsorship #### Salesforce * Usage metrics over 14, 30, and 60-day windows, enabled with a toggle in the integration config #### Databricks * Column masking support #### Omni * AI Context ingested into the Euno Glossary as linked terms #### Hex * Usage and lineage derived from BigQuery query events #### Elementary * Elementary V2 incident monitor groups now observed --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.euno.ai/support-resources/release-note/august-2026.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.