MindsDB releases new features, improvements, and bug fixes weekly. Here you’ll find information on the latest product updates.
Join our Slack community to interact with the core MindsDB team, ask questions, and share your thoughts.
MindsDB uses the Lightwood ML engine by default unless specified differently in the CREATE MODEL statement. As such, we keep improving it. Now, the Lightwood engine is at version 23.5.1.0. Learn more by following the Lightwood docs.
We’ve also made updates to the LangChain ML engine.
The support for Python version 3.7 is dropped. Currently, MindsDB requires Python 3.8 or 3.9.
The REST API endpoints are now well-documented. You can use it to manage databases, tables, models, views, and more. Check out our REST API docs here.
We’ve created a cache for data handlers that keeps connections opened during TTL time from the handler's last use.
As MindsDB grows, we continuously update the documentation. We’ve made a major restructure to our docs, including dividing them into sections for better readability.
We’ve got a lot of new integrations coming up. Let’s look at the ones released this week.
This integration enables organizations and users on GitLab to use ML for issue estimations, labeling, projects recommendation, automation of comments on GitLab issues, proofreading of READMEs, and more.
You can find out more about GitLab integration and its usage here.
The Hugging Face Inference API lets you easily integrate NLP, audio, and computer vision models deployed for inference via simple API calls.
You can find out more about Hugging Face Inference API integration and its usage here.
It enables MindsDB users to retrieve search results from Google directly within their ML models. Users can incorporate external data from Google Search to improve their model accuracy and predictions.
You can find out more about Google Search integration and its usage here.
This integration enables users to analyze their Google Fit data with the help of ML models in MindsDB.
You can find out more about Google Fit integration and its usage here.
This integration enables users to leverage ML capabilities for sales predictions, inventory management, product recommendations, and other automation tasks.
You can find out more about Google Content API integration and its usage here.
The Google Books integration with MindsDB enables users to use ML for book recommendations, reading history analysis, and other automation tasks based on their Google Books activity.
You can find out more about Google Books integration and its usage here.
This integration enables Quickbooks users to use the power of machine learning for generating expense reports, risk assessments, accounts payable, and many other use cases.
You can find out more about Quickbooks integration and its usage here.
This integration enables Sendinblue users to use ML for email campaign predictions, lead scoring, and other automation tasks in their Sendinblue account.
You can find out more about Sendinblue integration and its usage here.
The integration of MindsDB and YouTube lets users query for videos’ comments and analyze them using ML models.
You can find out more about YouTube integration and its usage here.
With this integration, users can easily connect MindsDB to their Slack workspace and use powerful AI capabilities to enhance team communication and collaboration.
You can find out more about Slack integration and its usage here.
This integration enables MindsDB users to gather data from HackerNews, including news articles, comments, and user profiles, for machine learning tasks such as sentiment analysis, content recommendation, and data analysis.
You can find out more about HackerNews integration and its usage here.
This integration enables users to access their Strava data, including activities, segments, and athlete information, through MindsDB, opening up possibilities for fitness-related automation, analysis, and insights.
You can find out more about Strava integration and its usage here.
This integration enables users to retrieve news articles from various sources, filter by keywords, and perform other operations using ML for news analysis, recommendation, and automation purposes.
You can find out more about NewsAPI integration and its usage here.
This integration enables users of SAP MaxDB to connect it to MindsDB as a data source. It is a high-performance, scalable, and reliable relational database management system that supports a wide range of applications.
You can find out more about SAP MaxDB integration and its usage here.
We’ve got new REST API endpoints for databases and views.
You can now fetch all databases connected to MindsDB using the GET /api/databases endpoint. We provide the POST and PUT endpoints to create or update a database. And to delete a database, you can call the DELETE /api/databases/<database_name> endpoint, passing your database name.
The same goes for views. You can fetch, create, update, or delete them using the REST API endpoints. All these endpoints include a project name where the view resides. For example, to get a single view, you can call the GET /api/projects/<project_name>/views/<view_name> endpoint. To learn more about MindsDB projects, check out our docs here.
We’ve got a lot of new integrations coming up. Let’s look at the ones released this week.
The integration with Reddit allows users to automate tasks, such as sentiment analysis, community trend analysis, and user behavior analysis, utilizing machine learning models.
Check out our docs here to learn how to connect your Reddit account to MindsDB.
Thanks to the integration with Plaid, users can apply ML for financial predictions, transaction categorization, and other financial automation tasks.
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Check out our docs here to learn how to connect your Plaid account to MindsDB.
With the Google Calendar integration, you can now leverage the power of ML for smarter scheduling, event recommendations, and other automation tasks.
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Check out our docs here to learn how to connect your Google Calendar to MindsDB.
The integration with Confluence enables users to create, collaborate, and organize their work, utilizing the power of ML.
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Check out our docs here to learn how to connect your Confluence account to MindsDB.
MindsDB offers over 70 integrations with various data sources. Here is another one: InfluxDB is an open-source time series database that you can now connect to MindsDB.
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Check out our docs here to learn how to connect your InfluxDB database to MindsDB.
We’ve implemented numerous new features, product improvements, and bug fixes. Read along to see the overview.
Stay tuned for more exciting updates in the future!
Here are the new features, product improvements, and bug fixes released this month.
We would like to thank our community for ongoing support, and if you are new to MindsDB, please feel free to try it without installation using our free demo environment.
