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/videoprojects/tree/main/2024-10-29-embeddings
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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