Don’t Embed Wrong!

As a founding member of the Ollama team, I discovered I've been doing embeddings wrong all along - and you probably are too. In this eye-opening video, I reveal how a simple technique called "prefixing" can dramatically improve your RAG application's accuracy by up to 2x. Learn about: • What prefixes are and how they work • The 3 embedding models that support prefixes • Detailed performance comparisons across different models • Real-world testing results and implications • Why traditional LLMs shouldn't be used for embeddings I've conducted extensive testing comparing 5 different embedding models, with and without prefixes, across multiple scenarios. The results will surprise you - they certainly surprised me! 🔗 Full source code and test results available in the GitHub repo: https://github.com/technovangelist/vi... Whether you're building RAG applications or working with vector databases, this video will transform how you approach embeddings. Don't miss this crucial technique that even experienced AI developers often overlook! #AI #MachineLearning #Ollama #RAG #Embeddings #Programming #TechTutorial The shirt: VATPAVE Mens Casual Hawaiian... https://geni.us/mhawaii1 $27 on Amazon My Links 🔗 👉🏻 Subscribe (free):    / technovangelist   👉🏻 Join and Support:    / @technovangelist   👉🏻 Newsletter: https://technovangelist.substack.com/... 👉🏻 Twitter:   / technovangelist   👉🏻 Discord:   / discord   👉🏻 Patreon:   / technovangelist   👉🏻 Instagram:   / technovangelist   👉🏻 Threads: https://www.threads.net/@technovangel... 👉🏻 LinkedIn:   / technovangelist   👉🏻 All Source Code: https://github.com/technovangelist/vi... Want to sponsor this channel? Let me know what your plans are here: https://www.technovangelist.com/sponsor