Open source query engine for AI analytics
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Michael Seibel

NLP inside your database - Query OpenAI’s GPT-3 from directly inside your database

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You’ve explored the power of GPT-3 & ChatGPT; now you can apply that power to your own data by bringing GPT-3 to your database with MindsDB, to deliver additional insights & value to your existing data. MindsDB is an Open-Source ML Platform for Developers

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Adam Carrigan
Maker
📌
Hey Product Hunters! Adam here, co-founder of MindsDB, the fastest growing open source applied machine learning platform in the world 🙂 Today we are excited to launch our NLP integration with Open AI’s GPT-3 and Huggingface pre-trained models, bringing the power of two of the world's most popular NLP frameworks to your database. This means you can now harness the power of these models on your own data directly inside your existing database with only a few queries. We believe that all applications will & should be enhanced or powered by AI, but right now, this is painful and slow. The workhorse that is the full-stack developer sets up the database, builds the front end and calls for the API, but yet if they want to incorporate even the simplest Machine Learning into the process this requires a team of specialists, one that may not even be available in some companies. Thus at MindsDB, we want to empower the full-stack developer to add a new pillar to their tool kit….. Machine Learning, and with MindsDB this is now possible. MindsDB is an Open-Source Machine Learning Platform for Full Stack Developers. We currently integrate ~70 popular databases with state-of-the-art machine learning frameworks, and this number is constantly growing thanks to the amazing open-source community! So, here’s some of the things you can do (with just a few SQL commands 😲) all in your DB: Classify and label rich text, for instance, for sentiment analysis, detecting hate speech, or spam; Extract meaning for labelling text even when you don't have any training data - so-called zero-shot classification; Have conversations, answer questions or comments; Automatically summarize long texts, translate them, and more. Upcoming Webinar: We are also hosting a deep dive webinar on our NLP capabilities, including GPT-3 and Huggingface. Sign-up here Check out this Demo Video and Get Started with MindsDB. We would love your feedback. Kind regards, Adam
Adam Carrigan
Maker
📌
Thank you everyone for your support today. We look forward to continuing the conversation in our community.
deepu
Congrats on the launch. For someone like me who is proficient in building UI and use Supabase as backend for basic CRUD where do I start in mindsdb?
Adam Carrigan
Maker
@pradeeb28 You can either deploy it on your own servers (like AWS) or you can start by testing it out on our cloud (https://cloud.mindsdb.com/home). We also have a quickstart on our docs here which is a great place to start. (https://docs.mindsdb.com/quickstart), and if you need any help our community is always around for support. (https://mindsdb.com/joincommunity)
deepu
Zoran Pandovski
@pradeeb28 Also, you will be able to integrate MindsDB directly with Supabase https://docs.mindsdb.com/data-in....
David Martin
@pradeeb28 Thanks
Jorge Torres
@pradeeb28 we are also working on SDKs, if you join our community on slack we can talk about the current SDK implementation.
George Hosu
Great to see you guys keep improving and getting more traction month after month, keep at it 😊
Zoran Pandovski
@george_hosu Thanks for all of your amazing contributions 🙌
Adam Carrigan
Maker
Thanks @george_hosu, we miss you :) hopefully catchup soon.
Alejandro Villegas
@george_hosu miss you sensei!
Erik Sebastian Bovee
@george_hosu Hey George! Great to see you here!
Costa Tin
@george_hosu Thank you!
Ameed Jamous
Very promising project with cloud and community version 💪. We are already looking into it. Deserves an upvote.
Adam Carrigan
Maker
@telecomsxchange Thank you, our team is available to help should you have any questions.
Zoran Pandovski
@telecomsxchange Thanks. We are happy to help you in your ML Journey
David Martin
sebastian tobon
@telecomsxchange thank you!
Alejandro Villegas
@telecomsxchange Thanks you!
Paolo De Giglio 🚀
Congrats on the launch of MindsDB on Product Hunt! 🎉 It looks like an amazing platform for full-stack developers to integrate machine learning into their applications. What types of use cases will the NLP integration with Open AI's GPT-3 and Huggingface pre-trained models enable? I'm excited to see what the possibilities are! 🤩 Keep up the great work!
Adam Carrigan
Maker
Hey @paolo_degiglio, Thanks for your question & support. We plan to support the majority of the Huggingface models and a large % of the ones from OpenAI. A list of all the things we currently support for Huggingface can be found here: https://docs.mindsdb.com/nlp/nlp... and for OpenAI here: https://docs.mindsdb.com/nlp/nlp.... As a short list, we support - Spam detection - Sentiment analysis - Emotion classifier - Hate speech detector -Question Detection But we also support many more.
Paolo De Giglio 🚀
@adam_carrigan Oh nice perfect!
Rutam Prita Mishra
@paolo_degiglio The NLP integration of MindsDB with OpenAI's GPT-3 and Hugging Face pre-trained models enables a wide range of use cases across different industries and applications. Here are a few examples: 1. Chatbots: MindsDB can be used to build advanced chatbots that can understand natural language queries and provide human-like responses. The integration with GPT-3 and Hugging Face models allows chatbots to have better language understanding and generate more accurate and relevant responses. 2. Sentiment Analysis: MindsDB can be used to build sentiment analysis models that can analyze and classify the sentiment of texts, such as customer reviews or social media posts. The integration with pre-trained NLP models enables sentiment analysis models to have better accuracy and provide more insightful results. 3. Text Classification: MindsDB can be used to build text classification models that can categorize texts into different classes, such as spam or ham, news articles, or product reviews. The integration with GPT-3 and Hugging Face models enables text classification models to have better accuracy and provide more relevant results. 4. Named Entity Recognition: MindsDB can be used to build named entity recognition models that can extract entities, such as names of people, organizations, and locations, from texts. The integration with GPT-3 and Hugging Face models enables named entity recognition models to have better accuracy and provide more relevant results. 5. Content Generation: MindsDB can be used to build content generation models that can generate new text based on given inputs. The integration with GPT-3 and Hugging Face models allows content generation models to have better language understanding and generate more coherent and relevant outputs. These are just a few examples of the types of use cases that can be enabled with the NLP integration of MindsDB with GPT-3 and Hugging Face models. The platform provides a user-friendly interface and a wide range of tools and features to help you build, train, and deploy NLP models for your specific use case, making it accessible to full-stack developers and non-experts alike.
Johannes
Very cool, will check this out! :)
Adam Carrigan
Maker
@jobenjada Thank you.
Martyna Slawinska
@jobenjada You can create a demo MindsDB account here: https://cloud.mindsdb.com/ Also, feel free to join our Slack community (https://mindsdb.com/joincommunity) and discover MindsDB through our docs (https://docs.mindsdb.com/)!
Costa Tin
@jobenjada Thank you!
sebastian tobon
@jobenjada thank you
David Martin
@jobenjada thanks
Macgill Davis
I love MindsDB and can't recommend the service more highly. We have used MindsDB Cloud to integrate ML within our product effortlessly. The team is incredibly supportive and helpful too. Congrats on the launch!
Adam Carrigan
Maker
@macgridcupcake Thanks, Macgill; awesome to be working with you. Props to the whole MindsDB team.
Zoran Pandovski
@macgridcupcake Thank you, it is a pleasure to work with you and the team.
Ianu82
@macgridcupcake thanks Macgill - we love Rize too :-)
David Martin
@macgridcupcake thank you
sebastian tobon
@macgridcupcake thank you!
Han Wang
Congrats on the launch! MindsDB is nothing short of a world class team and product. No better time than now to build something for folks in the LLM space 😉
Adam Carrigan
Maker
@han_wang6 Thankyou Han for your kind words.
Zoran Pandovski
Thank you @han_wang6. It's pleasure to work with you and the Mintlify team
David Martin
@han_wang6 thank you
Alejandro Villegas
@han_wang6 Thank you !
Costa Tin
@han_wang6 Thank you!
Richard Gao
Do you have plans to connect image generation APIs as well to databases, or is it just NLP for now? Mainly asking because we have image generation with evoke-app.com for now, but we are planning to get some NLP models in the future. Congrats on your launch!
Richie Rambal
@richard_gao2 We are tackling Data from structured data onwards, I can see it happening in the near future, stay tunned !
Patricio Cerda-Mardini
@richard_gao2 @ricardo_r_f_ Yes! We're exploring API integrations at the moment to enable seamless interplay between them and MindsDB-exposed ML models, so definitely something we want to add in the short to medium term.
David Martin
@richard_gao2 thank you
Alejandro Villegas
@richard_gao2 thank you!
Rutam Prita Mishra
@richard_gao2 Thanks for your support. Hopefully, MindsDB Team can come up with Image Generation APIs connections as well soon to suit your needs.
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