Unlock the secrets of AI agents with our comprehensive guide! From understanding core components to building your own AI agent, this guide is a must-read for any CTO. https://s.mdb.ai/3LIxvEk
MindsDB
Software Development
Berkeley, CA 6,334 followers
The platform for customizing AI from enterprise data
About us
MindsDB is the open-source orchestration platform connecting AI and enterprise data, helping developers customize their AI solutions. We believe AI will help every company thrive, but off-the-shelf, generic AI usually doesn’t completely meet their needs. With MindsDB’s nearly 200 integrations between AI models and data sources, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time. MindsDB was founded in 2017 by Jorge Torres and Adam Carrigan. The San Francisco-based startup is backed with more than $50M in total funding from Benchmark, Mayfield, Nvidia’s NVentures, YCombinator and others.
- Website
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http://mindsdb.com
External link for MindsDB
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Berkeley, CA
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Machine Learning, Artificial Intelligence, Predictive Analytics, Automated Machine Learning, Data Science, Predictive Modeling, Open Source, Enterprise AI, and Enterprise Machine Learning
Products
MindsDB
Data Science & Machine Learning Platforms
MindsDB is the open-source orchestration platform connecting AI and enterprise data
Locations
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Primary
2150 Shattuck Ave
Berkeley, CA 94704, US
Employees at MindsDB
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Patrik Backman
General Partner, CEO and Co-founder at OpenOcean, MariaDB Co-Founder
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Erik Bovee
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Dave Brace
Creative innovator | Curious data driven product leader | Technical product entrepreneur, GTM, design, Strategy hands-on | AI/ML Data platform…
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Sri Pangulur
Partner at Mayfield
Updates
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Llama 3.1 405B is a beast Meta has surpassed GPT-4o in multiple benchmarks. Why pay when you can use the best open-source model out there for free? Check out Chris S. as he shares how Llama 3.1 405B is setting new standards and what it means for the AI landscape. https://lnkd.in/gQBQvr9x
Llama 3.1 405B Is Changing The Game
https://www.youtube.com/
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Our next coworking day is in the books! Join us at our office next week, July 30th, for a day of coding, collaboration, and connection ✨ https://s.mdb.ai/46kb81r
Code/Collab/Connect Coworking Day · Luma
lu.ma
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🚀 New MindsDB release is here! 🔹 StatsForecast: Enable ‘season_length’ as settable parameter 🔹 GEMini updated 🔹 REST API for batch prediction 🔹 Updated LangChain handler to use langchain_openai (Support for GPT-4) 🔹 Pinned new version of snowflake-sqlalchemy supporting SQLAlchemy 2 🔹 Ollama - Support for embedding models 🔹 Implement caching for table information in SQLAgent 🔹 and more… Shout out to all the contributors for their hard work! Check out the full changelog here: https://lnkd.in/ds_xkJpX
Release v24.7.3.0 · mindsdb/mindsdb
github.com
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Congrats to the Arize team for hosting an incredible conference! Proud to be a sponsor and part of such a fantastic event ✨
Huge thanks to everyone who came out for Observe — we were thrilled to host you today. 🫶 We were incredibly lucky to hear from cutting-edge teams working on generative and researchers pushing the boundaries of what’s possible in improving AI-powered systems. Hat tip to all of our speakers who gave so many thoughtful presentations on all things LLM observability and evaluation. Last but not least, huge thanks to our sponsors for making this day possible: Microsoft Cerebral Valley Battery Ventures Swift Ventures Vectara Modelbit MindsDB PromptLayer Innodata Inc. + Pinecone And also!!! As many of you noted to us, the venue was pretty great. (Cc: SHACK15)
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🌟📢 We're hiring 📢🌟 Join the MindsDB team as a Group Product Manager in San Francisco 🌉 If you're an experienced PM with a passion for AI/ML, we want you! Check out the job description here 👇 https://s.mdb.ai/4eZZrAS
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We’re thrilled to announce the second beta release of Database Mind. Database Mind answers questions in plain language directly from a database. In this release, Database Mind delivers faster responses to the easy to ask, hard to answer questions over your database, boasting a 78% improvement in latency. Specifically, we have successfully reduced latency from 1 minute to 13 seconds for the average request. Learn more here: https://lnkd.in/gR9HU_3a We believe that app developers will appreciate a comprehensive API that can support a full conversation, taking questions and returning answers based on data contained in databases and data warehouses. Key Benefits We remove the complexity of: - Building and connecting a reasoning and execution loop - Managing and optimizing an AI app infrastructure stack - Maintaining context across a multi-step or complex conversation - New! Optimizing the logic and reasoning loops required to answer questions that span multiple data sources / dimensions Coming Soon - Even faster responses - Support for streaming responses - More complex database schemas - Rich Logging - More Secure access and authorization options We're thrilled to continue improving Database Mind, that can take a question and return plain language answers based on data contained in databases. Explore its capabilities, share your feedback, and help shape our platform's future. Try it now!
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🚀 New MindsDB release v24.7.2.0 is here! 🔹 Wrapped list into Tuple for proper rendering 🔹 Columns list for agent 🔹 Check for provided file path in SQLite handler 🔹 Improved error handling and messaging in dependencies installation 🔹 Fix case sensitive drop database 🔹 Removed MICROSERVICE_MODE in tests 🔹 API handler tests and fixes 🔹 Fixed link to Minds endpoint handler 🔹 Increased reliability of all agents using SQL tools 🔹 and more… Shout out to all the contributors for their hard work! Check out the full changelog here: https://lnkd.in/gwqypc2X
Release v24.7.2.0 · mindsdb/mindsdb
github.com
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Check out our latest tutorial on Database Mind! Chris S. teaches us how to leverage our Completions API to answer questions in plain language directly from your database. Check it out now: https://lnkd.in/gvhNhEnn
Database Mind Tutorial
https://www.youtube.com/
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🧠 Building AI solutions? Discover the 12 key aspects to consider when choosing a large language model in this comprehensive blog post! From model performance to cost and ease of integration, this article covers it all. 🌟 🔗 Read more here: https://s.mdb.ai/3L9cPF7
Which LLM to Choose: 12 key aspects to consider building AI solutions
mindsdb.com