🔍 Retrieval-Augmented Generation · Scour

🔍 Retrieval-Augmented GenerationSpecific

RAG, Knowledge Retrieval, Context Windows, Vector Databases

Vector Databases Compared: pgvector, Qdrant, Pinecone, Weaviate

Discussed on DEV

Show HN: Bible as RAG Database

Covered by crosscanon.com

Discussed on Hacker News

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Stop Using LangChain for AI Agents. Here’s Why.

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Retrieval Augmented Generation (RAG) in Large Language Model(LLMs)

Weaviate Blog·

Weaviate 1.38 Release

Covers Model Context Protocol And OAuth

HubSpot Product Blog (Live)·

Building the AI Retrieval Infrastructure Behind 20 Billion+ Vectors at HubSpot

Covers Qdrant - Vector Database

What Is a Vector Database? A Plain-English Guide (2026)

Covers Pixabay

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5 Vector Databases Every AI Engineer Should Know in 2026

Understanding Frontier AI Models and Their Capabilities

Covered by 6 sources including Hugging Face, NVIDIA Technical Blog

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From Toy RAG to Production RAG: Hybrid Search, Reranking and Observability

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Shipped Cortex RAG: 9-technique AdvRAG system for your laptop.

Building agentic AI applications with a modern data mesh strategy on AWS

Covers AWS CLI in Action: Automate Everything From Your Terminal ⚡🖥️

NVIDIA and AWS Collaborate to Bring AI to Production at Scale

Covered by tldr.tech

PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation

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Scaling RAG Applications in Production: Lessons Beyond the Demo

Quiz: Using LlamaIndex for RAG in Python

Building a Free AI PDF Assistant: How I Solved Parsing Issues and Minimized LLM Costs

Discussed on DEV

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Building a PDF Question-Answering Chatbot with Spring AI: From PDF Upload to RAG-Powered Answers

Agent Engineering Roadmap – a beginner-friendly guide to building AI agents

Discussed on Hacker News

Database vendors pitch themselves as the cure for runaway AI costs

Covered by TNW | Artificial-Intelligence

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