Latest

The blog post explains RAG chunking, highlighting techniques like fixed-size (with sliding window), document-based (using structure), LLM-based (for semantic understanding), and late chunking (on-demand). It stresses best practices like experimentation, context preservation, and metadata for optimal LLM performance.

In Retrieval-Augmented Generation (RAG), the integration of external knowledge sources enhances the capabilities of language models, enabling them to provide more accurate and contextually relevant responses.

Blog post emphasizes the significant advantages of developing multi-language client applications by leveraging a "common core" of business logic. It highlights the "write once, use everywhere" principle, leading to consistency, reduced development costs, and optimized performance.

Apache Iceberg has introduced native support for geometry and geography data types, revolutionizing geospatial analytics on data lakes.

In OpenStreetMap, tags provide meaningful descriptions to nodes, ways, and relations, utilizing patterns and collaborative guidelines to organize data effectively.