note

Reading zvec at the implementation level: Design and minimal Python implementation of an in-process vector DB

I want to use vector search without setting up an external server. There are surprisingly many requirements like that. When you don't want to bring in Docker at the PoC stage, want to embed search ...
Bleeping Computer

Max-severity flaw in ChromaDB for AI apps allows server hijacking

A max-severity vulnerability in the latest Python FastAPI version of the ChromaDB project allows unauthenticated attackers to run arbitrary code on exposed servers. The flaw is tracked as ...
GitHub

A reusable local RAG skill project for Codex, OpenClaw, and Claude Code.

It ingests markdown or text documents from single files or archives, stores vectors in a local ChromaDB, keeps a document registry for incremental updates, and ...
note

Building a Local RAG Help Desk AI with Python 3.14 + SQLite + LM Studio

In my previous article, I built a locally running AI chat UI using LM Studio and Node.js. As a follow-up, this article covers implementing RAG (Retrieval-Augmented Generation) by having an AI read ...
Forbes

From Prototype To Platform: What Coding With AI Taught Me About The Future Of Work

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. AI collapses the gap between vision and execution. Two weeks ago in Forbes, I described ...
GitHub

Building a Watsonx.ai Chatbot RAG Server with MCP

In this tutorial, you will learn how to build a full-featured Retrieval-Augmented Generation (RAG) server using IBM Watsonx.ai, ChromaDB for vector indexing, and expose it via the Model Context ...