DEV Community

#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

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
RAG with Spring Boot: Give Your AI a Private Contextual Memory

RAG with Spring Boot: Give Your AI a Private Contextual Memory

Comments
4 min read
RAG avec Spring Boot : Donnez une mémoire contextuelle et privée à votre IA

RAG avec Spring Boot : Donnez une mémoire contextuelle et privée à votre IA

Comments
5 min read
I Measured My RAG Pipeline Honestly. It Was 40x Slower Than I Thought.

I Measured My RAG Pipeline Honestly. It Was 40x Slower Than I Thought.

1
Comments 6
4 min read
# I Built a RAG Document Assistant with FastAPI, React, FAISS and Ollama

# I Built a RAG Document Assistant with FastAPI, React, FAISS and Ollama

1
Comments 1
2 min read
The Atomic Answer Rule: Engineering Content for RAG Chunking and AI Search

The Atomic Answer Rule: Engineering Content for RAG Chunking and AI Search

5
Comments 7
7 min read
How I Taught a Desktop Recorder to Know Who's Talking — A Transcription, Speaker ID and Vector Search Story

How I Taught a Desktop Recorder to Know Who's Talking — A Transcription, Speaker ID and Vector Search Story

Comments 3
8 min read
One Interface, Seven Formats: How Solon AI Turns Files, Web Pages, and Even Database Schemas into RAG Documents

One Interface, Seven Formats: How Solon AI Turns Files, Web Pages, and Even Database Schemas into RAG Documents

Comments 13
5 min read
Build a RAG pipeline from scratch — the actually simple version

Build a RAG pipeline from scratch — the actually simple version

Comments 4
7 min read
How I Used Chroma as a Local Vector Store — And What You'd Swap It for in Production

How I Used Chroma as a Local Vector Store — And What You'd Swap It for in Production

Comments
6 min read
OmniRAG — A Knowledge Engine That Handles Anything You Throw at It

OmniRAG — A Knowledge Engine That Handles Anything You Throw at It

Comments 1
2 min read
RAG ou fine-tuning: a pergunta errada para quem constrĂłi sistemas de IA

RAG ou fine-tuning: a pergunta errada para quem constrĂłi sistemas de IA

12
Comments 4
27 min read
One Interface, Three Search Backends: Web Search Is Just Another Repository

One Interface, Three Search Backends: Web Search Is Just Another Repository

Comments 8
6 min read
Building an Enterprise GenAI Platform on OCI — Part 2: The Data Pipeline Nobody Talks About

Building an Enterprise GenAI Platform on OCI — Part 2: The Data Pipeline Nobody Talks About

2
Comments 3
9 min read
We built a support widget with no human handoff. Here's why that's the honest version.

We built a support widget with no human handoff. Here's why that's the honest version.

Comments
5 min read
What Is RAG, and Why Does Your LLM Need It?

What Is RAG, and Why Does Your LLM Need It?

Comments
14 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.