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Local LLM setup: how to use RAG and an embedding model to stop wasting context

Local LLMs are fantastic, and they keep getting better at a staggering pace. I have non-negotiable reasons for preferring a local setup over relying on cloud giants like Claude or ChatGPT. Because of ...
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 ...

Catch a python? This Florida restaurant will accept it as currency

As the 2026 Florida Python Challenge is underway, one Florida restaurant will let you cash in your catch for a pizza. The ...
GitHub

Multi Agent RAG Researcher

Multi Agent RAG Researcher is based on an orchestrator that coordinates three worker agents to work together on a topic and generate grounded content. It works with two evidence sources: local PDF ...
GitHub

krishamaisheri/VC-Multi-Agent

The VC Multi-Agent System is an AI-powered venture capital pitch evaluation platform that simulates the decision-making process of experienced venture capitalists. The system uses multiple specialized ...