Deep dives into retrieval systems, AI infrastructure, and the future of enterprise knowledge management.
Today we are launching Lakehouse42 -- an LSR-as-a-Service platform that transforms how enterprises manage, search, and extract value from unstructured data at scale.
Retrieval-Augmented Generation was a breakthrough, but enterprises need more than a single query pattern. Here is why the LSR architecture delivers what RAG cannot.
A technical deep-dive into hybrid search -- how combining dense embeddings, sparse vectors, and BM25 scoring with Reciprocal Rank Fusion produces consistently superior retrieval quality.
A practical guide for enterprise teams looking to unlock value from unstructured data -- covering ingestion strategies, knowledge extraction, and the organizational patterns that make it work.
Why we chose Apache Iceberg as the storage foundation for Lakehouse42, and how open table formats solve the vendor lock-in, scalability, and governance challenges that plague proprietary knowledge platforms.
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