hamelsmu

Question: Should I avoid using RAG for my AI application after reading that "RAG is dead" for coding agents?

Many developers are confused about when and how to use RAG after reading articles claiming "RAG is dead." Understanding what RAG actually means versus the narrow marketing definitions will help you make better architectural decisions for your AI applications.

Answer: The viral article claiming RAG is dead specifically argues against using naive vector database retrieval for autonomous coding agents, not RAG as a whole. This is a crucial distinction that many developers miss due to misleading marketing.

RAG simply means Retrieval-Augmented Generation - using retrieval to provide relevant context that improves your model's output. The core principle remains essential: your LLM needs the right context to generate accurate answers. The question isn't whether to use retrieval, but how to retrieve effectively.

For coding

n1snt

Oh my zsh.

Install ZSH.

sudo apt install zsh-autosuggestions zsh-syntax-highlighting zsh

Install Oh my ZSH.

MrHassanMurtaza

#!/bin/sh
  
# If something goes wrong, this script does not run forever but times out
TIMEOUT_SECONDS=300

# Logfile for the keycloak export instance
LOGFILE=/tmp/standalone.sh.log
# destionation export file
JSON_IMPORT_FILE=/opt/jboss/keycloak/imports/realm-export.json

MrHassanMurtaza

#!/bin/bash

# Wrapper around AWS session manager for instance access using public ip and private ip
scriptname=$0

# Defaults
region='us-east-1'
profile=''

################################################################################

mindlapse

Introduction

Card payments with Stripe should be performed with PaymentIntents.

This API was created to handle modern payments, where the cardholder's bank may require the user to authenticate themselves with the bank before a payment can be authorized.

Authentication requirements first started to appear with European banks regulated by PSD2 which introduced [Strong Customer Authentication

munierujp

package middleware

import (
	"context"
	"strings"

	"github.com/labstack/echo/v4"

	firebase "firebase.google.com/go"
	"google.golang.org/api/option"

npearce

UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.

Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/

Docker CE Install

sudo amazon-linux-extras install docker
sudo service docker start

dwdraju

kind: Role
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
  name: user-log-reader
  namespace: default
rules:
- apiGroups:
    - ""
  resources:
  - pods

ruanbekker

Get DynamoDB Local on Docker:

This will get it going:

$ docker run -itd --name dynamodb-local -p 8000:8000 rbekker87/dynamodb-local:latest

For Data Persistence:

phsultan

const fs = require('fs');
const axios = require('axios');

const API_KEY = 'ADD YOUR API KEY HERE';
const fileName = './audio.raw';

// Reads a local audio file and converts it to base64
const file = fs.readFileSync(fileName);
const audioBytes = file.toString('base64');