Discover the differences between keyword, vector, and hybrid search systems. Learn how to optimize search performance with ...

While vector databases and embeddings are important for powering AI models, Intuit recognizes that true semantic understanding requires a more holistic approach. “Where the key issue continues ...

AI systems interpret meaning through vectors, leveraging semantic relationships, embeddings, and neural networks. You can prepare for this shift by optimizing for vector-based search focusing on ...

The final plan in the roadmap is integrating Semantic Kernel with vector databases including Pine Cone, Redis, Weaviate, and Chroma. It will also integrate with Azure Cognitive Search and Services.