Artificial Intelligence (AI)
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On this page I have collected some information which seems to me interesting related to Artificial Intelligenc (AI) and Machine Learning (ML).
Tutorials
How-to’s
- How to create and query vector stores
- How-to guides
- Text embedding models
- Quick and Simple: Setting Up Your First Local LLM Project
- Build a basic LLM chat app
- Adam Hendel, Tembo, 2024-09-24: Building an image search engine on Postgres
- Taylor Grenawalt, Vation, 2023-07-05: Vector Databases 101: What are Vector Databases?
- Pavan Belagatti, 2023-08-25: Vector Databases: A Beginner’s Guide!
- Alejandro Duarte, 2025-02-12: Building generative AI apps locally
- Laurynas Biveinis, 2025-12-01: Look at me, I’m an (LLM-assisted) Emacs Lisp developer now
- Chris Dabatos, TiDB/PingCAP, 2026-02-13: How to Build an AI Advisor That Shows College ROI (Not Rankings)
AI models and services
Code and Examples / GitHub
News
- Stefanie Stoppel (Machine Learning Engineer), Inovex, 2023-11-22: file://~/fromdual/technology/ai_mi/Myth of Neutrality - KI Navigator 22.11.23.pdf" target="_blank">The Myth of Neutrality - How AI is widening social divides
- Davis David, 2020-06-04: 15 Undiscovered & Open Source Machine Learning Frameworks You Need to Know in 2020
- Ulrich Bantle, Linux Magazin, 2020-06-16: Abbyy veröffentlicht NeoML als Open Source
- Matt Asay, InfoWorld, 2025-04-14: DeepSeek’s open source movement
- Lynn Greiner, 2025-05-22: Anthropic releases Claude Sonnet 4 and Claude Opus 4
- Noëlle Bölling, heise online, 2025-09-10: Ernüchterung statt Euphorie: KI-Nutzung in den USA geht zurück - Trotz Milliardeninvestitionen stagniert die Einführung von KI in den USA. Neue Zahlen zeigen, dass der Hype bisher kaum Einnahmen bringt und Risiken steigen.
- Mayur, 2025-11-17: Why Application Developers Using AI Is Great For DBA Job Security
- Matt Asay, InfoWorld, 2025-12-01: How much will openness matter to AI?
- Laurynas Biveinis, 2026-02-10: Boring but useful: making large-scale changes on MySQL codebase with LLMs
Vector databases
Vector database on Wikipedia
MariaDB and Vectors
Vector: List of floating point numbers
typical length: 20 - 2000 numbers
- Sergei Golubchik, MariaDB Foundation, MariaDB ServerFest 2024-09, Berlin: MariaDB Vector, a new Open Source vector database that you are already familiar
- Kaj Arnö, MariaDB Foundation: 2024-05-10: MariaDB is soon a vector database, too
- Kaj Arnö, MariaDB Foundation, 2024-07-29: Finally here: MariaDB Vector Preview!
- Sergei Golubchik, MariaDB plc, 2024-07-31: MariaDB Vector preview is out]
- Sergey Pronin, Percona, 2024-08-05: Open Source AI Database Agent Part 1: Introduction Keywords: generative AI, database agent
- Sergey Pronin, Percona, 2024-08-07: Open Source AI Database Agent Part 2: OSADA]
- Andrew Hutchings, MariaDB Foundation, 2024-08-30: Intel improving the performance of MariaDB Vector
- MariaDB Foundation: Creating the MariaDB Binary Tarball
- MariaDB Foundation: MariaDB Vector
- MariaDB Foundation: <a href=“https://mariadb.org/download/?t=mariadb&p=mariadb&r=11.6.0+Vector&os=source"" target="_blank”>Download MariaDB Server
- MariaDB Foundation on YouTube: MariaDB Vector - First Demo, MariaDB Server Fest Brussels
- MariaDB Vector - Project page
- MariaDB Vectors - Documentation
- Thorsten Honroth, Dr. Julien Siebert, Patricia Kelbert, Fraunhofer IESE, 2024-01-19: Open Source Large Language Models selbst betreiben
- Integrating Vector Databases with LLMs: A Hands-On Guide
- LLM Model Enhanced with Vector DB
- Building LLM Applications: Vector Database (Part 4)
- Understanding Vector Indexing: A Comprehensive Guide
- The Technical User’s Introduction to LLM Tokenization
- From prototype to production: Vector databases in generative AI applications
- Perl::Tokenizer - A tiny Perl code tokenizer
- https://www.iese.fraunhofer.de/blog/large-language-models-ki-sprachmodelle/
- https://huggingface.co/blog/2023-in-llms
- https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard
- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
- https://huggingface.co/spaces/mike-ravkine/can-ai-code-results
- https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard
- https://huggingface.co/openchat/openchat-3.5-0106
- https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0
- https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha
- https://developer.nvidia.com/blog/easy-introduction-cuda-c-and-c/
- https://en.wikipedia.org/wiki/CUDA
- https://pytorch.org/tutorials/beginner/pytorch_with_examples.html
- https://medium.com/@xriteshsharmax/quick-and-simple-setting-up-your-first-local-llm-project-c08bde3bb921
- https://github.com/ventz/easy-llms
- https://github.com/simonw/llm
- https://github.com/snwfdhmp/llm
- https://docs.mistral.ai/guides/tokenization/
- https://medium.com/@punya8147_26846/tokenizer-in-llm-060b1a35694b
- https://github.com/milahu/awesome-transpilers
- VERT: Verified Equivalent Rust Transpilation with Large Language Models as Few-Shot Learners
- Verified Code Transpilation with LLMs
- https://medium.com/@igniobydigitate/vector-databases-your-ais-secret-supercharge-129d7314545f
- https://medium.com/@igniobydigitate/word-embeddings-helping-computers-understand-language-semantics-dd3456b1f700
- https://milvus.io/docs/v2.0.x/overview.md
- DNA
- https://www.addgene.org/vector-database/6362/
- https://www.neb.com/en/tools-and-resources/interactive-tools/dna-sequences-and-maps-tool
- https://medium.com/accredian/leveraging-lstm-and-llm-models-for-stock-price-prediction-79bf15d681ec
- https://thegradient.pub/financial-market-applications-of-llms/
- https://lakefs.io/blog/what-is-vector-databases/
- https://lakefs.io/blog/what-is-vector-databases/
- https://www.techtarget.com/searchdatamanagement/tip/Top-industry-use-cases-for-vector-databases
- https://research.aimultiple.com/vector-database-use-cases/
- https://www.v7labs.com/blog/vector-databases
- https://www.contentful.com/blog/what-are-vector-databases/
- https://www.geeksforgeeks.org/vgg-16-cnn-model/
- https://huggingface.co/docs/transformers/en/model_doc/bert
- https://docs.llamaindex.ai/en/stable/examples/low_level/ingestion/#build-an-ingestion-pipeline-from-scratch
- Robert Silén, MariaDB Foundation, 2024-11-28: Try RAG with MariaDB Vector on your own MariaDB data!
MySQL and Vectors
Hierarchical Navigable Small Worlds (HNSW)
Vector database use cases
- Natural language processing (NLP)
- Customer support
- Perl to Python converter on premises for banking (transpiler)
- Improving machine learning models
- Clustering and classification
- Graph analytics
- Search engines
- Document search
- Better fulltext search (see genomics)
- Image and video recognition
- Music and multimedia streaming services
- Video games
- Biometrics
- Autonomous vehicles
- Recommendation Systems
- Media recommendations
- E-commerce product recommendations and Personalization
- Personalized advertising
- Similarity matching
- Human Resources Matching / Dating platforms
- Healthcare, Medical diagnostics
- Financial services
- Fraud detection
- Trend predictions / Market price forecast
- Anomaly Detection
- It Security
- GIS, Spatial data
Other ideas
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