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:
[ Ссылка ]

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

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