Improve Gen AI Search with Vertex AI Embeddings and Task Types | Google Cloud Blog
Enhancing your gen AI use case with Vertex AI embeddings and task types Retrieval Augmented Generation (RAG) is a powerful technique for enhancing large language models (LLMs) by grounding them in external knowledge sources. This blog post looks into a common challenge in RAG implementations: achieving high-quality semantic search. We'll explore why traditional similarity search often falls short,
Emerging Patterns in Building GenAI Products
As we move software products using generative AI technology from proof-of-concepts into production systems, we are uncovering a range of common patterns. Evals play a central role in ensuring that these non-deterministic systems are operating within sensible boundaries. Large Language Models need enhancement to provide information beyond a generic and static training set. Most of the time we can d
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