Forem

# rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

Posts

👋 Sign in for the ability to sort posts by relevant, latest, or top.
Building an Intelligent RAG Agent with Azure AI Foundry: A Deep Dive into Sreeni-RAG
Cover image for Building an Intelligent RAG Agent with Azure AI Foundry: A Deep Dive into Sreeni-RAG

Building an Intelligent RAG Agent with Azure AI Foundry: A Deep Dive into Sreeni-RAG

2
Comments 2
8 min read
Spring AI: An Engineer’s Answer to the HR Black Hole
Cover image for Spring AI: An Engineer’s Answer to the HR Black Hole

Spring AI: An Engineer’s Answer to the HR Black Hole

3
Comments
13 min read
Supercharge Your Terminal: ShellGPT + ChromaDB + LangChain for Context-Aware Automation
Cover image for Supercharge Your Terminal: ShellGPT + ChromaDB + LangChain for Context-Aware Automation

Supercharge Your Terminal: ShellGPT + ChromaDB + LangChain for Context-Aware Automation

Comments
9 min read
From LLMs to Liability: How Agents Grow Up

From LLMs to Liability: How Agents Grow Up

1
Comments
1 min read
OrKa 0.9.4: cleaner logs, full GraphScout paths, ISO timestamps

OrKa 0.9.4: cleaner logs, full GraphScout paths, ISO timestamps

2
Comments
1 min read
Context Engineering: The Missing Piece in Building AI Agents That Actually Work
Cover image for Context Engineering: The Missing Piece in Building AI Agents That Actually Work

Context Engineering: The Missing Piece in Building AI Agents That Actually Work

Comments 1
4 min read
I Created an AI Assistant That Reads the Fine Print for You

I Created an AI Assistant That Reads the Fine Print for You

6
Comments 1
4 min read
Why Most RAG Pipelines Fail in Production (and How to Fix Them)
Cover image for Why Most RAG Pipelines Fail in Production (and How to Fix Them)

Why Most RAG Pipelines Fail in Production (and How to Fix Them)

3
Comments
2 min read
RAG for Dummies
Cover image for RAG for Dummies

RAG for Dummies

5
Comments
2 min read
**Processing Mode**

**Processing Mode**

Comments
3 min read
Vector Databases Guide: RAG Applications 2025
Cover image for Vector Databases Guide: RAG Applications 2025

Vector Databases Guide: RAG Applications 2025

Comments
10 min read
The Secret to Efficient RAG: A Step-by-Step Guide to Chunking and Counting Your Vectors

The Secret to Efficient RAG: A Step-by-Step Guide to Chunking and Counting Your Vectors

3
Comments
11 min read
LLPY-03: Extracción y Procesamiento Inteligente de Datos Legales
Cover image for LLPY-03: Extracción y Procesamiento Inteligente de Datos Legales

LLPY-03: Extracción y Procesamiento Inteligente de Datos Legales

Comments
21 min read
Embedded Intelligence: How SQLite-vec Delivers Fast, Local Vector Search for AI.

Embedded Intelligence: How SQLite-vec Delivers Fast, Local Vector Search for AI.

Comments 2
7 min read
RAG: experiments with prompting using 3 LLM's
Cover image for RAG: experiments with prompting using 3 LLM's

RAG: experiments with prompting using 3 LLM's

Comments 2
8 min read
👋 Sign in for the ability to sort posts by relevant, latest, or top.