Unanswered questions

Hello Cognite Community,We are evaluating the throughput limits of the Cognite Hosted MQTT Extractor.Our use case involves subscribing to MQTT topics and storing the received messages in CDF RAW. Each MQTT message has a payload smaller than 1 KB.We would like to clarify the following: Are there any hard limits on MQTT message throughput (messages/second)? Per MQTT client connection Per subscription (topic filter) Per Hosted Extractor job If there are no fixed limits, what is the recommended maximum sustained throughput (messages/second)? What happens if the incoming message rate exceeds the Hosted MQTT Extractor's processing capacity? Are messages buffered? Are failed messages retried? Is there a risk of message loss? Do the CDF RAW API write quotas also apply to Hosted MQTT Extractors, or are there separate internal limits? We would appreciate any official documentation, benchmarks, or practical experience regarding these limitations.Thank you!

Hello,I started doing https://learn.cognite.com/cognite-data-workflows/2026033 course but found that in cognite-learn organization there is no access for Data worflows enabled. I  also checked the admin group for learners at it seems that such access is missing. Im attaching screenshots.I would be grateful for any guidance on this issue. And can I be granted such access?BestTom 

Hello, Im doing https://learn.cognite.com/cognite-functions/1327986 Functions course and looks like some materials are outdated and some parts of the notebooks dont run. In the course materials there is information that new course is under development, but I couldnt find any new course on this topic.So is there a new one or this is the only course on Cognite Functions?Best

How should data write-back be implemented in an application developed using Cognite Flows? Specifically, where should application-generated files and structured data be persisted, which CDF services should be used for different data types, and how should the write-back layer integrate with the broader CDF architecture?

Hi Cognite Community,We are looking at ingesting approximately 1 million engineering and operational documents into CDF, including equipment manuals, datasheets, inspection reports, SIL/HAZOP studies, operating procedures, technical studies, maintenance reports, and other asset-related documents.Our key requirement is for an Atlas AI agent to answer questions across this entire document repository without the user having to identify or pinpoint a specific document first.For example, a user should be able to ask:“What are the recurring compressor seal issues reported across our engineering and operational documents?”The user may not know which documents contain the relevant information. We therefore expect Atlas AI to discover the appropriate documents/passages, retrieve the relevant content, and generate a grounded response with references to the source documents.According to Cognite's documentation, CDF Semantic Search does create vector embeddings for PDF documents as part of the bui

Whether CDF natively supports semantic/ontology-based relationship modelling (named, typed relationships like contains, hasTimeSeries, performedOn with direction/cardinality/metadata), and whether Atlas AI and other consumers can traverse that semantic meaning rather than just node-to-node links.

In order to delete nodes in CDF in a given View because of deletes in the Fabric source table, we need to extract necessary fields for all rows in Fabric to construct the space and ExternalId, and then compare this with a full extraction of the space and externalId in the View.In one example with ~400k rows/nodes, it takes 1-2 minutes to get the data from Fabric. However, the cdf_nodes is several orders of magnutide slower.Only extracting space and externalId for 400k nodes in the View takes ~25 minutes Adding a Where clause to check if the externalId has a given prefix as a safeguard makes the query time out.Using cdf_data_models or other functions does not seem to help either. Is there a reason that listing ids for nodes is so slow? And are there other ways to go about this use case?

Hello, Is timeSeriesAcl:read acl required for data point subscription consumption? Although the client has timeSeriesSubscriptionsAcl:read. We recieve: CogniteAPIError: Missing capability to read Time series | code: 403. When calling: ‘client.time_series.subscriptions.iterate_data’.Thanks

Improve how the AI explains its answer to the final user.Today, users may receive a result without clearly understanding how the AI reached that conclusion or which information was considered.The proposed improvement is to provide a simple and user-friendly explanation that shows: What information was used to generate the answer. The main steps the AI followed. Progress while the answer is being prepared. A short explanation of why the AI reached that result. References or sources used, when available. The explanation should use simple, user-friendly language and avoid technical terms. It should also be provided in real time, using a streaming experience, so the user can follow the main reasoning steps while the answer is being generated instead of waiting until the end.This would help users better understand the answer, increase trust in the AI, and make it easier to validate the result.

Hello Community, I am just trying to understand the zero copy connection to databricks. I understand from the examples at cognite-databricks/README.md at main · cognitedata/cognite-databricks · GitHub, that CDF exposed its data through the Unity Catalog, help register its views (including Core CDM etc) and query them from databricks notebook. How about the reverse - for example to access data from databricks from outside databricks, does “zero copy” applies. For example, I see one can query the SQL warehouse using service principals and PATs.  Is there a zero copy way, that I am missing?  ThanksAlex 

Hey!We are looking into how to improve access control in our GitHub monorepo which deploys using Cognite Toolkit. We use a GitHub CODEOWNERS file to configure which teams approve changes to which code. Here are some options I see and the problems that I see with them:Option 1: Using different deployment credentials for different sets of Cognite Toolkit modulesThis initially seemed to me like the most natural option as we then use the access control system of the target platform, but we suspect that dealing with deployment ordering is then going to be too complicated for us to handle unless there is support for this approach from Cognite.Option 2: Checking that YAML source files do not go out of the bounds of their modulesWe then check that source files in a given module do not, for example, deploy into a CDF space managed by a different team, or reference environment variables containing secrets fetched from another team’s vault.My concern with this approach is that Cognite Toolkit’s v

Hi Cognite team,>> On project `essc-sandbox-44` (cluster `westeurope-1`), we've configured a published AI Agent's data tools with **"Follow access scope defined manually"** set to a single instance space (`beveragemanufacturer`), but the tools scan the entire project's cross-space instance population instead of the scoped space. We verified via the SDK that the agent's "Found data of type" counts match the global totals exactly (e.g., 31,120 Process Alarms and 39,260 Downtime Events project-wide) while the scoped space holds only ~334 instances total — producing 6+ minute responses. It reproduces across three different tool types and is unaffected by reducing the data model, removing tools, or adding explicit prompt-level scoping.>> The attached document has full environment details, the verified evidence, reproduction steps, and our specific questions. Our main question: is this scope setting meant to filter DMS retrieval by space, and if so, is the cross-space scan a know

Hi Cognite Community,We have a requirement to extend the CDF 3D experience beyond displaying attributes from the Core Data Model, so that users can visualize related transactional and operational information as configurable layers directly on the 3D model.Our industrial knowledge graph connects equipment and functional locations to multiple types of information, for example:SAP Notifications and Work Orders Maintenance Plans Inspection findings Reliability events / Bad Actors RCA and TFN records MOC records Alarms and operational events Engineering and operational documents Time-series conditions and calculated KPIsThe Cognite Core Data Model provides standardized industrial concepts and can be extended through additional models and relationships. [docs.cognite.com], [docs.cognite.com]However, we would like the 3D visualization to make greater use of these contextual relationships, rather than limiting the user experience primarily to the attributes directly associated with the core 3D

Hi Cognite Community,We have a requirement for CDF Charts to dynamically use configured tag limit attributes as chart thresholds, rather than requiring users to manually enter static threshold values on an ad-hoc basis.For industrial tags/time series, we maintain multiple engineering and operational limits, for example:High / High-High limits Low / Low-Low limits Operating upper and lower limits Design limits Alarm limits Safe operating limits Other tag-specific engineering thresholdscurrently supports configuring thresholds for time-series analysis and monitoring. However, we would like these thresholds to be dynamically sourced from the contextualized attributes associated with the tag/time series, rather than manually entering a value each time a chart is created.Expected capabilityFor example, if a pressure tag has contextualized attributes such as:High: 80 bar High-High: 90 bar Low: 30 bar Low-Low: 20 bar Design Pressure: 100 barWhen the user adds that time series to a CDF Chart,

Hello Cognite CommunityI'm exploring Cognite Atlas AI and would like to get some hands-on experience with its capabilities.Are there any publicly accessible demo projects, sample datasets, or sandbox environments available for developers to experiment with Atlas AI and Cognite Data Fusion?I'm particularly interested in exploring how AI agents interact with industrial data, asset information, and time series.If there are any public projects or learning environments available, could you please share how to access them?Thanks in advance for your help!

Hello everyone,I currently don't have access to Atlas AI in the publicdatacdm project under the publicdata organization. Could someone please guide me on how to request access and let me know if any additional permissions or approvals are required?

Hi Cognite Team, We have been using DM subscriptions for a while now and we know that it is very common for subscriptions to stop responding and we are forced to create new ones or start from a fresh cursor multiple times.I have questions on how will this be monitored and responsibility for fixing it in case it doesn't work or stops responding and how do we find it. Can we have some alerts or emails sent to us incase if anything fails similar to for Extractors when it fails? cc: ​@Neerajkumar Bhatewara 

Hello everyone,I have completed the Cognite Flows Fundamentals course and would like to know the next steps toward obtaining the Cognite Flows Builder Certification. Could someone please guide me on where I can register for the hands-on workshop?I found the virtual workshop consisting of three live sessions, but the session content does not appear to be loading properly. I can only see the session titles, with no additional details, links, or learning materials.I would appreciate any guidance on how to proceed with the certification and access the workshop materials.

Hello Cognite Community,I'm exploring a web-based industrial visualization project focused on the Valhall facility, using React Three Fiber and Three.js to build an interactive 3D experience.I'm looking into the available 3D asset formats and the best approach for integrating industrial facility models into a browser-based rendering pipeline.For those who have worked with Valhall or similar industrial 3D assets: Which model formats or export workflows are suitable for integrating these assets with Three.js? Are there any publicly accessible Valhall model datasets or approved demonstration assets available for development and testing? If the source model is provided in CLV or another specialized format, what is the recommended workflow for making it compatible with a web-based 3D viewer? I'd appreciate any technical documentation or recommendations regarding the model pipeline.Thanks in advance!

Hello Cognite Community,I'm currently studying Cognite Data Fusion and have completed the Cognite Flows Fundamentals Assessment.My goal is to earn the official Cognite Flows Builder Certificate. I've reviewed the Flows Builder Learning Journey and understand that attending a hands-on workshop is one of the required steps.I'm currently learning independently and would like to know how I can register for the workshop.Could someone please clarify the following? Can individual learners or students attend the Cognite Flows hands-on workshop? Are there any upcoming online or virtual workshop sessions? How can I register for an available workshop? Is there any registration fee for individual participants? I'd appreciate any guidance on the next steps toward earning the official Cognite Flows Builder Certificate.Thank you!

Hello everyone,I can currently access Cognite Flows through the Publicdata project. However, I would like to understand the purpose of the Flows Developer Instance and whether it is a separate environment from the Publicdata project.Could someone please clarify what the developer instance is used for, how I can obtain access to it, and what permissions are required to build and test custom applications?

Hi everyoneI'm currently learning Cognite Flows and preparing for the Builder Certification.I'd like to build a practical industrial monitoring app using CDF data.Could someone guide me on how to connect CDF data, build the UI using Aura components, and test the application?Are there any beginner-friendly examples or step-by-step tutorials available?Thanks for your help!

Hello Cognite Community! 👋I'm Tushar Savane from Tridiagonal.ai, where I work at the intersection of pharmaceutical and biopharmaceutical process engineering, data science, and industrial AI.My role involves bridging the gap between client challenges and technical solutions, working closely with both industry stakeholders and data science teams to translate complex process problems into practical, scalable, data-driven solutions.My areas of interest include Golden Batch Analysis (GBA), Root Cause Analysis (RCA), yield improvement, process scale-up and scale-down, CFD, technology transfer, and mechanistic modeling.Currently, my focus is on successfully delivering an end-to-end industrial AI project and building a foundation that can be extended across multiple pharma and biopharma applications.I'm particularly excited to explore how Cognite Data Fusion (CDF), Industrial DataOps, and contextualized industrial data can help connect process knowledge with advanced analytics, AI, and engin

In Flows (Search and Charts), a Data Modeling time series shows up under the Default categories (Classic data model time series) by default. When selected in Search it appears with incomplete metadata (including an empty External ID) and cannot be added to a chart (“You can only add time series with external IDs to a chart”), even though the underlying time series does have an external ID.The same time series can also be found under Other categories, where it works as expected: the External ID is shown and the time series can be plotted.The confusing part is that users are presented with the non-working version by default, and there is no obvious indication that they should instead select the time series from another category. Since both entries appear to represent the same time series, I would consider this a UI bug or an inconsistency between how Classic and SDM time series are surfaced in Search & Charts.  

Hello Team, I have created interactive diagram in my project and its working fine, showing all related assets and timeseries associated with each part on diagram. But all this happening on cognite data fusion environment.My query is, how can we bring this diagram to POWER BI dashboard or Cognite Flows App. Is there any way to do this? or its not possible? ThanksRupali