live wire
▸Snowflake’s Cortex Agent quickstart routes metrics and transcripts with prompt rules—but documents no authorization boundarySnowflake▸Oracle Select AI generates SQL/PGQ for property graphs—but errors if one AI profile mixes graphs with tables or viewsOracle▸Domo’s data team standardizes MCP builds with shared scaffolding; beta toolkits inherit user permissionsDomo▸Databricks proposes five outcome signals for agentic BI—and says dashboard counts and license usage miss decision qualityDatabricks▸One vibe-coded database app needed 56+ human test hours and three repair rounds despite AI Studio’s verification claimsMancas & Mancas / arXiv▸BigQuery AI.IF’s default cost mode trains a local model for most rows—and drops row-error thresholdsGoogle Cloud▸AWS’s multi-tenant data-agent pattern gives the broker Lambda no data permissions; Cognito roles carry Lake Formation scopeAWS Big Data Blog▸Amazon OpenSearch’s optimized engine adds nested agent traces, but AWS reserves it for log analytics—not vector searchAWS▸Two interpretation-based provenance semantics cannot express SQL bag difference, new theorem showsKolaitis / arXiv▸Databricks Feature Views reuse one definition for training and live scoring, but online lookup still returns latest available stateDatabricks▸Databricks Genie’s Slack and Teams previews default channel answers to public, even when viewers lack source-data accessDatabricks▸Snowflake’s two-tool GraphRAG agent beat a seven-tool graph setup 70% to 60% on 22 ontology questionsSnowflake Engineering▸Semantix opens an Apache-2.0 semantic-first data-agent stack, but labels the project WIP and has no release or adoption yetGitHub / icosmos-space▸Confluent defines Streamhouse as shared current state for agents and apps, but says broader semantics and governance are still to comeConfluent▸Snowflake’s Cortex Agent quickstart routes metrics and transcripts with prompt rules—but documents no authorization boundarySnowflake▸Oracle Select AI generates SQL/PGQ for property graphs—but errors if one AI profile mixes graphs with tables or viewsOracle▸Domo’s data team standardizes MCP builds with shared scaffolding; beta toolkits inherit user permissionsDomo▸Databricks proposes five outcome signals for agentic BI—and says dashboard counts and license usage miss decision qualityDatabricks▸One vibe-coded database app needed 56+ human test hours and three repair rounds despite AI Studio’s verification claimsMancas & Mancas / arXiv▸BigQuery AI.IF’s default cost mode trains a local model for most rows—and drops row-error thresholdsGoogle Cloud▸AWS’s multi-tenant data-agent pattern gives the broker Lambda no data permissions; Cognito roles carry Lake Formation scopeAWS Big Data Blog▸Amazon OpenSearch’s optimized engine adds nested agent traces, but AWS reserves it for log analytics—not vector searchAWS▸Two interpretation-based provenance semantics cannot express SQL bag difference, new theorem showsKolaitis / arXiv▸Databricks Feature Views reuse one definition for training and live scoring, but online lookup still returns latest available stateDatabricks▸Databricks Genie’s Slack and Teams previews default channel answers to public, even when viewers lack source-data accessDatabricks▸Snowflake’s two-tool GraphRAG agent beat a seven-tool graph setup 70% to 60% on 22 ontology questionsSnowflake Engineering▸Semantix opens an Apache-2.0 semantic-first data-agent stack, but labels the project WIP and has no release or adoption yetGitHub / icosmos-space▸Confluent defines Streamhouse as shared current state for agents and apps, but says broader semantics and governance are still to comeConfluent
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releaseRELEASE

Progress expands Agentic RAG without a migration—but live-app access widens the review surface

The October release gives existing deployments a planning agent, a Teams interface and a source-side WordPress connector. The operational gain is real; so is the need to review every live system the agent can reach.

Existing Agentic RAG gains Smart Agent, Teams, and WordPress without migration.
Side by side: what changed
By The News Desk· Oct 3, 2026the quick take — two AI hosts go live when you do

Progress has shipped three capabilities to existing Agentic RAG deployments: a Smart Agent, a native Microsoft Teams app and a WordPress plugin. The company says customers receive them as configuration on their current platform, with no installation or migration required. That makes this more than a feature bundle: it is a test of whether an enterprise retrieval foundation can absorb new reasoning, delivery and ingestion paths without a rebuild. Progress

The agent now chooses when it has enough evidence

The Smart Agent decomposes a question into sub-questions, selects sources, re-queries when needed and evaluates whether the assembled answer is sufficient before stopping. Progress says quality scoring runs at each step, rather than only on the final response. It also says citations and audit logs preserve a trace of the agent’s steps for review. Progress

The consequential change is that retrieval no longer ends at indexed content. Through MCP connections, the agent can combine records from live applications such as CRM, ERP and ticketing systems with documents already in the knowledge base. Progress gives the example of joining an account’s CRM history, an open support ticket and a contract in one answer. Progress

That convenience also broadens the review surface. The launch post says steps are cited and audited, but it does not describe how permissions are reconciled when one answer spans several live systems. Teams access is clearer: Progress says the app carries over the deployment’s existing access controls and cited answers, without requiring a custom bot framework or authentication flow. Progress

WordPress moves freshness closer to the source

The WordPress plugin replaces a crawl-only path with a native, source-side integration intended to preserve structure and metadata while keeping content current. Progress characterizes it as a precision upgrade rather than a new source category. Progress

For practitioners, the release separates three deployment questions that are often bundled together: where an answer is delivered, which systems the agent may consult and how current the underlying content is. Existing customers avoid a migration, but adding live MCP applications should still trigger an access and audit review. The platform can ship configuration instantly; an organization’s authorization model still deserves deliberate validation.

Filed by The News Desk. Corrections: desk@nl2sql.ai · Our standards →

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