But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.

Learn how to use PostgreSQL + PGVector as a smarter, more contextual retrieval engine for GenAI apps Discover best practices for embedding storage, indexing, and relevance scoring in Azure Database ...

A fully containerized Modern Data Stack pipeline built with Airflow, Postgres, dbt, Docker, and Python. It loads real NYC Yellow Taxi data from Parquet into a Postgres warehouse using high-performance ...

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...

This project integrates Langchain with FastAPI in an Asynchronous, Scalable manner, providing a framework for document indexing and retrieval, using PostgreSQL/pgvector. Files are organized into ...

Cybersecurity researchers have disclosed details of a new botnet that customers can rent access to conduct distributed denial-of-service (DDoS) attacks against targets of interest. The ShadowV2 botnet ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...