When Databricks claimed to have cracked an age-old database problem, it came with a clear marketing message: "One data, zero compromises, zero copies." Inevitably, that led engineers to search for ...

Couchbase AI launches its AI Data Plane to transform the AI database market with Agent Memory, unified data access, and edge ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

* This article is reconstructed based on a portion of the book. More in-depth content (design and concrete examples) is summarized in the book, so please check it out if you are interested. By the ...

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced ...

For any platform that needs to guide users toward the right choices, personalization isn’t optional anymore—it’s expected. A generic recommendation engine needs to go far beyond simple filters like ...

Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.

Performance and governance layer for the Databricks Genie API. Deploy as a Databricks App — callers swap the base URL, zero code changes required. Genie translates natural language to SQL. The Gateway ...