Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
CMU School of Computer Science

Databases in 2025: A Year in Review

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.
IEEE

Data Augmentation: Synthetic Image Generation for Medical Images Using Vector Quantized Variational Autoencoders

Abstract: Artificial intelligence (AI) has revolutionized medical imaging, significantly improving diagnostic accuracy via the evaluation of X-rays, MRIs, and CT scans. However, the effectiveness of ...
ET CIOOpinion

From fragmented memory to context engines: The next architecture shift in AI systems

Explore the shift towards context engines in AI systems by 2026, focusing on the consolidation of agent frameworks and the ...
GitHub

zeusdb-vector-database

LangChain integration for ZeusDB, a high-performance Rust-powered vector database with lightning-fast search, metadata-aware filtering, and scalable RAG pipelines.