GitHub

Starter Guide for RAG (Retrieval Augmented Generation) using local models with Ollama and Chroma.

This Jupyter Notebook guides you through building a Retrieval Augmented Generation (RAG) pipeline using Chroma for vector storage and Ollama for embeddings + LLM generation.

These 32 Products Have Such Remarkable Results, You’ll Blink Your Eyes In Disbelief

Better known as eyeball fuel, these can help you keep those lovely "you look tired" comments at bay. This cult-fave beauty ...
GitHub

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

In recent years, Retrieval Augmented Generation (RAG) systems have made significant progress in extending the capabilities of Large Language Models (LLM) through external retrieval. However, these ...
IEEE

Agentic RAG with Human-in-the-Retrieval

Abstract: Retrieval-Augmented Generation (RAG) has emerged as a promising solution to address key challenges faced by GenAI, such as hallucination, outdated or non-removable parametric knowledge, and ...