# DataFact documentation sitemap An annotated, machine-readable index of the canonical English DataFact documentation. Each entry links to a visible HTML page; the source documentation is authored in Markdown. ## Agents, Sessions, and messages URL: https://datafact.ai/docs/concepts/agents-sessions-messages Understand the configuration, conversation container, and individual turns. Related: - Deep analysis - Agents --- ## Document intelligence, connections, and knowledge URL: https://datafact.ai/docs/concepts/connections-memorylake-knowledge Understand how source access, document processing, usable resources, and semantic guidance remain distinct. Related: - Business Context - Answer quality --- ## The DataFact data-to-answer lifecycle URL: https://datafact.ai/docs/concepts/data-to-answer-lifecycle See how source data becomes context for an Agent answer. Related: - Answer verification - Evidence --- ## Datasets vs. Analysis Models URL: https://datafact.ai/docs/concepts/datasets-and-analysis-models Distinguish a SQL data boundary from reusable versioned semantic knowledge. Related: - Business Context - Answer quality --- ## Evaluation lifecycle URL: https://datafact.ai/docs/concepts/evaluation-lifecycle Combine user feedback, review, and repeatable task runs without inventing a score. Related: - Evaluation - Answer quality --- ## Evidence and citations URL: https://datafact.ai/docs/concepts/evidence-and-citations Interpret citations as traceable source references, not automatic validation. Related: - Answer verification - Evidence --- ## Feature availability URL: https://datafact.ai/docs/concepts/feature-availability Interpret Available, Preview, Planned, and conditional user-interface states. Related: - DataFact documentation --- ## How an answer is produced URL: https://datafact.ai/docs/concepts/how-answers-are-produced Understand conditional execution blocks and outputs in an Agent response. Related: - Answer verification - Evidence --- ## Concepts URL: https://datafact.ai/docs/concepts Understand DataFact resources and the data-to-answer lifecycle. Related: - DataFact documentation --- ## Knowledge and answer accuracy URL: https://datafact.ai/docs/concepts/knowledge-and-accuracy Understand what curated context can and cannot improve. Related: - Business Context - Answer quality --- ## MemoryLake resource types URL: https://datafact.ai/docs/concepts/memorylake-resource-types Compare Datasets, Documents (Lite), and Documents (Excel). Related: - Document intelligence - Documents and databases --- ## Workspaces and resource scope URL: https://datafact.ai/docs/concepts/workspaces-and-resource-scope Understand how the active workspace and resource scope affect visibility. Related: - DataFact documentation --- ## Connect a database and analyze data URL: https://datafact.ai/docs/getting-started/analyze-database-data Follow the verified path from a database connection to an Agent question. Related: - Database analysis - Documents and databases --- ## Import and analyze an Excel document URL: https://datafact.ai/docs/getting-started/analyze-excel-document Upload a tabular file, parse it in Documents (Excel), and use it in a supported workflow. Related: - Document intelligence - Documents and databases --- ## Build a document knowledge experience URL: https://datafact.ai/docs/getting-started/document-knowledge Turn library files into Documents (Lite) retrieval for an Agent. Related: - Business Context - Answer quality --- ## Get your first answer URL: https://datafact.ai/docs/getting-started/first-answer Open an existing agent, ask one question, and understand the result states. Related: - Answer verification - Evidence --- ## Get started URL: https://datafact.ai/docs/getting-started Complete your first DataFact workflow. Related: - DataFact documentation --- ## Choose your next workflow URL: https://datafact.ai/docs/getting-started/next-workflow Select the shortest verified path for your data and outcome. Related: - DataFact documentation --- ## What is DataFact? URL: https://datafact.ai/docs/getting-started/what-is-datafact Understand how DataFact connects business data, knowledge, and AI applications. Related: - DataFact documentation --- ## DataFact workflow overview URL: https://datafact.ai/docs/getting-started/workflow-overview Understand the path from connected data to evidence-backed answers and evaluation. Related: - DataFact documentation --- ## Sign in and navigate the workspace URL: https://datafact.ai/docs/getting-started/workspace-tour Recognize the main user-facing areas without assuming every feature is enabled. Related: - DataFact documentation --- ## Control access to an agent URL: https://datafact.ai/docs/guides/ai-applications/agent-access Choose a personal or team scope and understand user-visible access behavior. Related: - Deep analysis - Agents --- ## Choose an agent type URL: https://datafact.ai/docs/guides/ai-applications/agent-type Choose between the Agent creation paths and resource modes available in your workspace. Related: - Deep analysis - Agents --- ## Configure a messaging channel URL: https://datafact.ai/docs/guides/ai-applications/configure-channel Enter provider credentials and control which Agent execution details are forwarded. Related: - DataFact documentation --- ## Connect an Agent to a channel URL: https://datafact.ai/docs/guides/ai-applications/connect-channel-agent Select messaging applications from an editable General agent. Related: - Deep analysis - Agents --- ## Connect datasets and knowledge URL: https://datafact.ai/docs/guides/ai-applications/connect-knowledge Link compatible DataFact resources to an Agent. Related: - Business Context - Answer quality --- ## Create an agent URL: https://datafact.ai/docs/guides/ai-applications/create-agent Create an Agent with the streamlined setup form and add resources when needed. Related: - Deep analysis - Agents --- ## Create a channel URL: https://datafact.ai/docs/guides/ai-applications/create-channel Register a Slack, Telegram, DingTalk, or Feishu channel with the credentials required by the selected provider. Related: - DataFact documentation --- ## Create a report template URL: https://datafact.ai/docs/guides/ai-applications/create-report-template Define report metadata, standards, business knowledge, sections, metrics, and chart requirements. Related: - Deep analysis - Agents --- ## Download a completed report URL: https://datafact.ai/docs/guides/ai-applications/download-report Download a report record only after completion and when a download address is available. Related: - Deep analysis - Agents --- ## Find report records URL: https://datafact.ai/docs/guides/ai-applications/find-report-records Search loaded task records and filter service results by status. Related: - Deep analysis - Agents --- ## Generate a report URL: https://datafact.ai/docs/guides/ai-applications/generate-report Select Documents (Excel), map parsed worksheets to sections, and start a report task. Related: - Deep analysis - Agents --- ## Configure a greeting URL: https://datafact.ai/docs/guides/ai-applications/greeting Set the opening message shown before a Session contains messages. Related: - DataFact documentation --- ## Build AI applications URL: https://datafact.ai/docs/guides/ai-applications Configure Agents, AI Reports, and supported messaging channels. Related: - DataFact documentation --- ## Edit, lock, or delete an agent URL: https://datafact.ai/docs/guides/ai-applications/manage-agent Update Agent configuration and use deletion protection before removal. Related: - Deep analysis - Agents --- ## Edit or delete a channel URL: https://datafact.ai/docs/guides/ai-applications/manage-channel Update a messaging-channel registration or remove it after confirmation. Related: - DataFact documentation --- ## Edit or delete a report template URL: https://datafact.ai/docs/guides/ai-applications/manage-report-template Update a template from its detail page or remove it after confirmation. Related: - Deep analysis - Agents --- ## Configure the model and instructions URL: https://datafact.ai/docs/guides/ai-applications/model-and-instructions Select an available model and define how an Agent should respond. Related: - DataFact documentation --- ## Configure recommended questions URL: https://datafact.ai/docs/guides/ai-applications/recommended-questions Maintain prompts for supported Agent applications and messaging channels. Related: - DataFact documentation --- ## Track report status URL: https://datafact.ai/docs/guides/ai-applications/report-status Interpret live execution progress and the final state shown for a report-generation record. Related: - Deep analysis - Agents --- ## AI Reports overview URL: https://datafact.ai/docs/guides/ai-applications/reports-overview Understand report templates, generation tasks, and report records. Related: - Deep analysis - Agents --- ## Retry a failed report URL: https://datafact.ai/docs/guides/ai-applications/retry-report Ask the report service to retry an existing failed task. Related: - Deep analysis - Agents --- ## Review channel configuration URL: https://datafact.ai/docs/guides/ai-applications/verify-channel Inspect saved channel metadata without treating it as a live delivery test. Related: - DataFact documentation --- ## Ask better questions URL: https://datafact.ai/docs/guides/ask-and-analyze/asking-tips Write bounded, verifiable questions that help an Agent return a useful answer. Related: - Answer verification - Evidence --- ## Cancel or resume a request URL: https://datafact.ai/docs/guides/ask-and-analyze/cancel-or-resume Stop active work and understand automatic recovery after an interruption. Related: - Answer verification - Evidence --- ## Work with charts and generated files URL: https://datafact.ai/docs/guides/ask-and-analyze/charts-and-files Inspect visual results and open or download files produced by an answer. Related: - Answer verification - Evidence --- ## Respond to clarification requests URL: https://datafact.ai/docs/guides/ask-and-analyze/clarification-requests Answer a choice or free-text request so an Agent can continue. Related: - Answer verification - Evidence --- ## Find and open an Agent URL: https://datafact.ai/docs/guides/ask-and-analyze/find-agent Locate an Agent available to you and open its Session workspace. Related: - Answer verification - Evidence --- ## Ask and analyze URL: https://datafact.ai/docs/guides/ask-and-analyze Work with Agents, Sessions, answers, citations, and generated results. Related: - Answer verification - Evidence --- ## Manage Session history URL: https://datafact.ai/docs/guides/ask-and-analyze/manage-history Search, open, rename, inspect, and delete Sessions from an Agent workspace. Related: - Answer verification - Evidence --- ## View PDF highlights URL: https://datafact.ai/docs/guides/ask-and-analyze/pdf-highlights Open a cited PDF and inspect the positions supplied with the citation. Related: - Answer verification - Evidence --- ## Understand queued requests URL: https://datafact.ai/docs/guides/ask-and-analyze/queued-requests Recognize a waiting request and decide whether to wait or cancel. Related: - Answer verification - Evidence --- ## Read an answer URL: https://datafact.ai/docs/guides/ask-and-analyze/read-answer Distinguish execution progress, the final response, and supporting outputs. Related: - Answer verification - Evidence --- ## Start a Session URL: https://datafact.ai/docs/guides/ask-and-analyze/start-session Create a Session by sending the first question to an Agent. Related: - Answer verification - Evidence --- ## Use suggested follow-up questions URL: https://datafact.ai/docs/guides/ask-and-analyze/suggested-follow-ups Continue from questions generated with a completed Agent answer. Related: - Answer verification - Evidence --- ## Trace citations to source content URL: https://datafact.ai/docs/guides/ask-and-analyze/trace-citations Inspect numbered citations and compare an answer with its source material. Related: - Answer verification - Evidence --- ## Add a database connection URL: https://datafact.ai/docs/guides/connections/add-database Connect Supabase, PostgreSQL, or MySQL, verify the connection, select schemas, and save. Related: - Database analysis - Documents and databases --- ## Browse files and folders URL: https://datafact.ai/docs/guides/connections/browse-library Navigate the Document Library, search files, and read list states. Related: - Database analysis - Documents and databases --- ## Browse schemas and tables URL: https://datafact.ai/docs/guides/connections/browse-schema Build and inspect the structure available from a saved database connection. Related: - Database analysis - Documents and databases --- ## Resolve connection failures URL: https://datafact.ai/docs/guides/connections/connection-errors Correct visible database connection errors without exposing credentials. Related: - Database analysis - Documents and databases --- ## Enter connection information URL: https://datafact.ai/docs/guides/connections/connection-information Enter the connection information required for Supabase, PostgreSQL, or MySQL. Related: - Database analysis - Documents and databases --- ## Create folders URL: https://datafact.ai/docs/guides/connections/create-folders Add a folder at the Document Library root using a valid name. Related: - Database analysis - Documents and databases --- ## Connect data and documents URL: https://datafact.ai/docs/guides/connections Add files to the Document Library and register database connections. Related: - Database analysis - Documents and databases --- ## Edit or remove a database connection URL: https://datafact.ai/docs/guides/connections/manage-database Update editable values, rebuild structure, or permanently delete a connection. Related: - Database analysis - Documents and databases --- ## Manage files and folders URL: https://datafact.ai/docs/guides/connections/manage-files Preview, download, rename, select, and delete items in the Document Library. Related: - Document intelligence - Documents and databases --- ## Test a database connection URL: https://datafact.ai/docs/guides/connections/test-connection Verify the current fields and load the Schema choices required before saving. Related: - Database analysis - Documents and databases --- ## Upload files URL: https://datafact.ai/docs/guides/connections/upload-files Select supported local files and upload them to the current Document Library location. Related: - Document intelligence - Documents and databases --- ## Track upload progress URL: https://datafact.ai/docs/guides/connections/upload-progress Interpret waiting, active, successful, failed, and canceled upload states. Related: - Database analysis - Documents and databases --- ## Recover from upload failures URL: https://datafact.ai/docs/guides/connections/upload-recovery Correct visible validation or transfer failures and retry safely. Related: - Database analysis - Documents and databases --- ## Browse questions URL: https://datafact.ai/docs/guides/evaluation/browse-questions Review question records returned for the current user and workspace. Related: - Evaluation - Answer quality --- ## Create a test set URL: https://datafact.ai/docs/guides/evaluation/create-test-set Create a reusable collection of plain-text questions. Related: - Evaluation - Answer quality --- ## Track execution progress URL: https://datafact.ai/docs/guides/evaluation/execution-progress Monitor task-level status and use pause or restart only when eligible. Related: - Evaluation - Answer quality --- ## Review execution results URL: https://datafact.ai/docs/guides/evaluation/execution-results Download the result file attached to an eligible Test Set task. Related: - Evaluation - Answer quality --- ## Add feedback details URL: https://datafact.ai/docs/guides/evaluation/feedback-details Add optional reasons and context to a negative answer rating. Related: - Evaluation - Answer quality --- ## Understand the visible feedback lifecycle URL: https://datafact.ai/docs/guides/evaluation/feedback-lifecycle Distinguish answer feedback, human handling, and system optimization progress. Related: - Evaluation - Answer quality --- ## Filter by Agent or user URL: https://datafact.ai/docs/guides/evaluation/filter-agent-user Use paged selectors without assuming a complete locally loaded directory. Related: - Evaluation - Answer quality --- ## Review unavailable question content URL: https://datafact.ai/docs/guides/evaluation/incomplete-content Interpret fallback display when stored question text cannot be extracted. Related: - Evaluation - Answer quality --- ## Evaluate and improve URL: https://datafact.ai/docs/guides/evaluation Give answer feedback, review questions, and run reusable test sets. Related: - Evaluation - Answer quality --- ## Add and edit test questions URL: https://datafact.ai/docs/guides/evaluation/manage-test-questions Maintain Test Set metadata and add or remove individual question items. Related: - Evaluation - Answer quality --- ## Understand handling and optimization status URL: https://datafact.ai/docs/guides/evaluation/optimization-status Read the two independent status axes shown for negative feedback. Related: - Evaluation - Answer quality --- ## Rate an answer URL: https://datafact.ai/docs/guides/evaluation/rate-answer Submit positive or negative feedback on an eligible completed Agent answer. Related: - Evaluation - Answer quality --- ## Run a test again URL: https://datafact.ai/docs/guides/evaluation/rerun-test Restart an eligible task or create a separate execution after configuration changes. Related: - Evaluation - Answer quality --- ## Review feedback records URL: https://datafact.ai/docs/guides/evaluation/review-feedback Inspect active answer feedback and open its related question context. Related: - Evaluation - Answer quality --- ## Run a test set URL: https://datafact.ai/docs/guides/evaluation/run-test-set Create a task that sends a Test Set to an eligible Agent. Related: - Evaluation - Answer quality --- ## Search and filter questions URL: https://datafact.ai/docs/guides/evaluation/search-questions Submit combined All Questions filters and clear them deliberately. Related: - Evaluation - Answer quality --- ## Send product feedback URL: https://datafact.ai/docs/guides/evaluation/send-product-feedback Report a DataFact product problem with optional screenshots and a contact email. Related: - Evaluation - Answer quality --- ## Update or withdraw feedback URL: https://datafact.ai/docs/guides/evaluation/update-feedback Change an active answer rating or withdraw an editable rating with a deliberate long press. Related: - Evaluation - Answer quality --- ## Guides URL: https://datafact.ai/docs/guides Complete tasks in the DataFact web workspace. Related: - DataFact documentation --- ## Build a knowledge version URL: https://datafact.ai/docs/guides/knowledge-modeling/build-version Choose a completed baseline and start a new Analysis Model build. Related: - Business Context - Answer quality --- ## Manage business entities URL: https://datafact.ai/docs/guides/knowledge-modeling/business-entities Define, enable, edit, and remove reusable business concepts for analysis. Related: - Business Context - Answer quality --- ## Add business knowledge URL: https://datafact.ai/docs/guides/knowledge-modeling/business-knowledge Add domain rules and optionally associate them with business entities. Related: - Business Context - Answer quality --- ## Create an analysis model URL: https://datafact.ai/docs/guides/knowledge-modeling/create-analysis-model Select a model type, database connection, schemas, and initial metadata. Related: - Business Context - Answer quality --- ## Delete an eligible version URL: https://datafact.ai/docs/guides/knowledge-modeling/delete-version Identify protected versions and confirm removal of an eligible version. Related: - Business Context - Answer quality --- ## Manage drill-down entities URL: https://datafact.ai/docs/guides/knowledge-modeling/drilldown-entities Create and inspect hierarchical entities in a completed drill-down model version. Related: - Business Context - Answer quality --- ## Understand editable and read-only states URL: https://datafact.ai/docs/guides/knowledge-modeling/editable-states Determine whether Dataset or Analysis Model knowledge can be changed. Related: - Business Context - Answer quality --- ## Manage entity relationships URL: https://datafact.ai/docs/guides/knowledge-modeling/entity-relationships Connect two existing Dataset entities with a supported relationship type. Related: - Business Context - Answer quality --- ## Add general knowledge URL: https://datafact.ai/docs/guides/knowledge-modeling/general-knowledge Maintain broad contextual guidance in the current Dataset or Analysis Model version. Related: - Business Context - Answer quality --- ## Model knowledge URL: https://datafact.ai/docs/guides/knowledge-modeling Add business context and maintain versioned analysis models. Related: - Business Context - Answer quality --- ## Configure knowledge sources URL: https://datafact.ai/docs/guides/knowledge-modeling/knowledge-sources Associate supported source resources and resolve unavailable references before building. Related: - Business Context - Answer quality --- ## Understand analysis model types URL: https://datafact.ai/docs/guides/knowledge-modeling/model-types Choose from the analysis model types currently supplied by the workspace. Related: - Business Context - Answer quality --- ## Add optimization examples URL: https://datafact.ai/docs/guides/knowledge-modeling/optimization-examples Add example questions and expected SQL or text solution patterns. Related: - Business Context - Answer quality --- ## Build again after a failure URL: https://datafact.ai/docs/guides/knowledge-modeling/retry-build Review a failed version and start a new build from a completed baseline. Related: - Business Context - Answer quality --- ## Switch the active version URL: https://datafact.ai/docs/guides/knowledge-modeling/switch-version Confirm and activate a completed Analysis Model version. Related: - Business Context - Answer quality --- ## Explore the topology graph URL: https://datafact.ai/docs/guides/knowledge-modeling/topology-graph Navigate, search, expand, and maintain a drill-down entity hierarchy. Related: - Business Context - Answer quality --- ## View version details URL: https://datafact.ai/docs/guides/knowledge-modeling/version-details Inspect build metadata and the source snapshot stored for an eligible version. Related: - Business Context - Answer quality --- ## Add files from the Document Library URL: https://datafact.ai/docs/guides/memorylake/add-library-files Select existing unlinked files and add them to Documents (Lite). Related: - Document intelligence - Documents and databases --- ## Bind or unbind an analysis model URL: https://datafact.ai/docs/guides/memorylake/bind-analysis-model Select a compatible analysis model and understand how binding changes knowledge behavior. Related: - Business Context - Answer quality --- ## Browse datasets URL: https://datafact.ai/docs/guides/memorylake/browse-datasets Read the SQL dataset list and distinguish loading, empty, and error states. Related: - Document intelligence - Documents and databases --- ## Browse worksheets URL: https://datafact.ai/docs/guides/memorylake/browse-worksheets Navigate parsed worksheets, detected subtables, and column metadata. Related: - Document intelligence - Documents and databases --- ## Select a chunking method URL: https://datafact.ai/docs/guides/memorylake/chunking-method Choose a default or document-level chunking method and understand re-chunking effects. Related: - Document intelligence - Documents and databases --- ## Configure worksheet metadata URL: https://datafact.ai/docs/guides/memorylake/configure-worksheet-data Add semantic aliases and descriptions, then save and reparse the document. Related: - Document intelligence - Documents and databases --- ## Create a SQL dataset URL: https://datafact.ai/docs/guides/memorylake/create-dataset Create a dataset from an available database connection and one or more schemas. Related: - Document intelligence - Documents and databases --- ## Create Documents (Excel) URL: https://datafact.ai/docs/guides/memorylake/create-documents-excel Create a spreadsheet-oriented document container before adding source files. Related: - Document intelligence - Documents and databases --- ## Create Documents (Lite) URL: https://datafact.ai/docs/guides/memorylake/create-documents-lite Create a lightweight document-memory container and choose its default chunking method. Related: - Document intelligence - Documents and databases --- ## Understand data access behavior URL: https://datafact.ai/docs/guides/memorylake/data-access Recognize how access can affect visible datasets and query results. Related: - Document intelligence - Documents and databases --- ## View dataset details URL: https://datafact.ai/docs/guides/memorylake/dataset-details Read dataset metadata and navigate the sections available for that dataset. Related: - Document intelligence - Documents and databases --- ## Manage dataset knowledge URL: https://datafact.ai/docs/guides/memorylake/dataset-knowledge Use dataset-level knowledge when it is available and editable. Related: - Business Context - Answer quality --- ## View document metadata URL: https://datafact.ai/docs/guides/memorylake/excel-metadata Read file properties, processing state, and parsed worksheet metadata. Related: - Document intelligence - Documents and databases --- ## Resolve tabular parsing failures URL: https://datafact.ai/docs/guides/memorylake/excel-parsing-errors Diagnose failed, missing, or unexpected worksheet parsing without assuming the cause. Related: - Document intelligence - Documents and databases --- ## Build with MemoryLake URL: https://datafact.ai/docs/guides/memorylake Create and maintain Datasets, Documents (Lite), and Documents (Excel). Related: - Document intelligence - Documents and databases --- ## Resolve indexing failures URL: https://datafact.ai/docs/guides/memorylake/indexing-errors Diagnose a failed or stalled document parse and retry without hiding evidence. Related: - Document intelligence - Documents and databases --- ## View parsing and indexing status URL: https://datafact.ai/docs/guides/memorylake/indexing-status Read document processing states and know when chunk inspection is available. Related: - Document intelligence - Documents and databases --- ## Inspect chunks and source content URL: https://datafact.ai/docs/guides/memorylake/inspect-chunks Search, filter, preview, and maintain parsed chunks for one document. Related: - Document intelligence - Documents and databases --- ## Inspect parsing results URL: https://datafact.ai/docs/guides/memorylake/inspect-excel-parsing Confirm a tabular document's processing state and detected structure. Related: - Document intelligence - Documents and databases --- ## Edit or delete a dataset URL: https://datafact.ai/docs/guides/memorylake/manage-dataset Update dataset metadata or permanently remove a dataset after confirmation. Related: - Document intelligence - Documents and databases --- ## Update or remove documents URL: https://datafact.ai/docs/guides/memorylake/manage-lite-documents Enable, parse, preview, download, configure, or delete Documents (Lite) source files. Related: - Document intelligence - Documents and databases --- ## Understand dataset tables and fields URL: https://datafact.ai/docs/guides/memorylake/tables-and-fields Understand schema scope and the current limits of table and field configuration. Related: - Document intelligence - Documents and databases --- ## Add Excel, CSV, or supported tabular files URL: https://datafact.ai/docs/guides/memorylake/upload-tabular-files Upload source files to the Document Library, then add them to Documents (Excel). Related: - Document intelligence - Documents and databases --- ## Use Excel data in reports and analysis URL: https://datafact.ai/docs/guides/memorylake/use-excel-data Connect a parsed Documents (Excel) resource to supported AI workflows. Related: - Document intelligence - Documents and databases --- ## DataFact documentation URL: https://datafact.ai/docs Learn how to connect data, build MemoryLake resources, create AI applications, and evaluate results with DataFact. Related: - DataFact documentation --- ## Accessibility and keyboard behavior URL: https://datafact.ai/docs/reference/accessibility-keyboard Use standard focus, dialog, and keyboard interactions where supported. Related: - DataFact documentation --- ## Analysis model type comparison URL: https://datafact.ai/docs/reference/analysis-model-types Interpret runtime-provided model templates and known semantic modes. Related: - Business Context - Answer quality --- ## Feature availability labels URL: https://datafact.ai/docs/reference/availability-labels Reference documentation labels and conditional product availability. Related: - DataFact documentation --- ## Chunking method comparison URL: https://datafact.ai/docs/reference/chunking-methods Compare runtime-provided Documents (Lite) chunking choices without inventing fixed availability. Related: - Document intelligence - Documents and databases --- ## Supported databases URL: https://datafact.ai/docs/reference/databases Review the Supabase, PostgreSQL, and MySQL choices available for structured-data connections. Related: - Database analysis - Documents and databases --- ## Dataset and indexing statuses URL: https://datafact.ai/docs/reference/dataset-indexing-statuses Interpret document processing states used by MemoryLake resources. Related: - Document intelligence - Documents and databases --- ## Supported document formats URL: https://datafact.ai/docs/reference/document-formats Determine current upload eligibility from runtime configuration. Related: - Document intelligence - Documents and databases --- ## DataFact glossary URL: https://datafact.ai/docs/reference/glossary Definitions for public DataFact product terms. Related: - DataFact documentation --- ## Reference URL: https://datafact.ai/docs/reference Look up DataFact terminology, formats, types, and statuses. Related: - DataFact documentation --- ## Analysis model version statuses URL: https://datafact.ai/docs/reference/model-version-statuses Interpret build states and their effect on editing and version actions. Related: - DataFact documentation --- ## Product navigation map URL: https://datafact.ai/docs/reference/navigation-map Map visible workspace entries to their documentation areas. Related: - DataFact documentation --- ## Report generation statuses URL: https://datafact.ai/docs/reference/report-statuses Interpret Preview AI Reports task states. Related: - Deep analysis - Agents --- ## Session and queue statuses URL: https://datafact.ai/docs/reference/session-queue-statuses Interpret waiting, rejection, cancellation, streaming, and completion states. Related: - Deep analysis - Agents --- ## Supported tabular formats URL: https://datafact.ai/docs/reference/tabular-formats Understand the verified structured-file extensions and their limits. Related: - DataFact documentation --- ## Chinese-English terminology URL: https://datafact.ai/docs/reference/terminology Canonical bilingual product names used in DataFact documentation. Related: - DataFact documentation --- ## An action is unavailable URL: https://datafact.ai/docs/troubleshooting/action-unavailable Identify state, dependency, selection, and access conditions behind a disabled or missing action. Related: - DataFact documentation --- ## An answer has no citation URL: https://datafact.ai/docs/troubleshooting/answer-without-citation Determine whether citations were expected for the Agent type and response. Related: - Answer verification - Evidence --- ## A citation cannot be opened URL: https://datafact.ai/docs/troubleshooting/citation-not-opening Check source availability, access, locator data, and preview support. Related: - Answer verification - Evidence --- ## Database connection test failed URL: https://datafact.ai/docs/troubleshooting/database-connection Isolate input, reachability, credential, and schema-discovery failures. Related: - Database analysis - Documents and databases --- ## Document parsing failed URL: https://datafact.ai/docs/troubleshooting/document-parsing Recover from a failed Documents (Lite) or Documents (Excel) processing task. Related: - Document intelligence - Documents and databases --- ## Excel worksheets are missing URL: https://datafact.ai/docs/troubleshooting/excel-worksheets Check document status, source structure, paging, and metadata before remapping a report. Related: - Document intelligence - Documents and databases --- ## I cannot see a feature URL: https://datafact.ai/docs/troubleshooting/feature-not-visible Check workspace, capability, and access conditions without changing platform settings. Related: - DataFact documentation --- ## File upload failed URL: https://datafact.ai/docs/troubleshooting/file-upload Check runtime format, size, batch, folder, and transfer conditions. Related: - Document intelligence - Documents and databases --- ## Troubleshooting & FAQ URL: https://datafact.ai/docs/troubleshooting Diagnose visible DataFact problems and recover safely. Related: - DataFact documentation --- ## Indexing is stuck or failed URL: https://datafact.ai/docs/troubleshooting/indexing Interpret Documents (Lite) processing state and retry safely. Related: - Document intelligence - Documents and databases --- ## An Analysis Model build failed URL: https://datafact.ai/docs/troubleshooting/model-build Inspect the failed version and start a new build from a completed baseline. Related: - DataFact documentation --- ## A feature is read-only URL: https://datafact.ai/docs/troubleshooting/read-only Distinguish access, workspace guidance, processing state, and immutable fields. Related: - DataFact documentation --- ## A report generation task failed URL: https://datafact.ai/docs/troubleshooting/report-generation Review the Preview task error and choose retry or a corrected new generation. Related: - Deep analysis - Agents --- ## A Session request is queued URL: https://datafact.ai/docs/troubleshooting/session-queued Wait, cancel when available, or recover from a rejected queued request. Related: - Deep analysis - Agents --- ## A streamed answer was interrupted URL: https://datafact.ai/docs/troubleshooting/stream-interrupted Distinguish recoverable reconnect behavior from a terminal failure. Related: - DataFact documentation --- ## What to include in a support request URL: https://datafact.ai/docs/troubleshooting/support-request Provide reproducible evidence without exposing secrets or protected data. Related: - DataFact documentation --- ## The wrong table or Dataset was used URL: https://datafact.ai/docs/troubleshooting/wrong-data-source Trace the Agent resource, execution evidence, and business scope before changing configuration. Related: - DataFact documentation --- ## Behavior changes URL: https://datafact.ai/docs/whats-new/behavior-changes Verified released changes to established user workflows. Related: - DataFact documentation --- ## Deprecated features URL: https://datafact.ai/docs/whats-new/deprecations Verified deprecations, removal timing, and replacement workflows. Related: - DataFact documentation --- ## Improvements URL: https://datafact.ai/docs/whats-new/improvements Verified usability, reliability, and quality improvements. Related: - DataFact documentation --- ## Latest updates URL: https://datafact.ai/docs/whats-new Dated, verified DataFact Web release notes and links to affected documentation. Related: - DataFact documentation --- ## New features URL: https://datafact.ai/docs/whats-new/new-features Verified newly released user-facing capabilities, including new data sources and messaging channels. Related: - DataFact documentation