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

👋 Sign in for the ability to sort posts by relevant, latest, or top.
Your Question-Level Split Can Leak the Same Answer Twice
vexaloom-labs profile

Your Question-Level Split Can Leak the Same Answer Twice

#python #rag #machinelearning #nlp
1
Comments 1
7 min read
Hunter Signal Lab: I Built a Lazy Morning Brief So I Could Sleep Instead of Staring at Charts

Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥
iamclassified profile

Hunter Signal Lab: I Built a Lazy Morning Brief So I Could Sleep Instead of Staring at Charts

#devchallenge #hf26challenge #rag #opensource
4
Comments
8 min read
RAG Chunking Done Right: Split on Structure, Attach Metadata, and Measure Recall Before You Touch chunk_size
m_t_ramkrushna profile

RAG Chunking Done Right: Split on Structure, Attach Metadata, and Measure Recall Before You Touch chunk_size

#ai #rag #llm #python
Comments
6 min read
Building a Complete RAG Pipeline: From Document Ingestion to Retrieval, Answer Generation.
vasu_buchingari profile

Building a Complete RAG Pipeline: From Document Ingestion to Retrieval, Answer Generation.

#ai #python #rag #genai
5
Comments
27 min read
My RAG tool refused to answer a question my notes clearly answered
salima_iddrisu profile

My RAG tool refused to answer a question my notes clearly answered

#rag #python #ai #machinelearning
1
Comments 3
4 min read
Document Versioning: 9 Retrieval Practices for Privacy-Focused Knowledge Managers (2026)
liraelvex6403 profile

Document Versioning: 9 Retrieval Practices for Privacy-Focused Knowledge Managers (2026)

#search #rag #privacy #documentversioning
Comments
5 min read
How to Select a Portable OpenAI Embedding Model for Property Chatbot RAG Semantic Search
florianblake3536 profile

How to Select a Portable OpenAI Embedding Model for Property Chatbot RAG Semantic Search

#ai #rag #python
Comments
5 min read
Context engineering: the job prompt engineering grew into
agensphere profile

Context engineering: the job prompt engineering grew into

#ai #llm #rag #promptengineering
Comments
5 min read
Customer-Support Knowledge Base Retrieval Architecture: Bounded Crawls, Traceable Answers
frosty45 profile

Customer-Support Knowledge Base Retrieval Architecture: Bounded Crawls, Traceable Answers

#retrieval #rag #customersupport #sre
Comments
5 min read
Citation-ready RAG from PDFs: page-aware chunks with stable IDs in ~30 lines of Python
dakota_myers_b2bb2254e685 profile

Citation-ready RAG from PDFs: page-aware chunks with stable IDs in ~30 lines of Python

#rag #python #langchain #ai
Comments 1
4 min read
Building NornicDB With NornicDB: Code Graphs and Swarms
orneryd profile

Building NornicDB With NornicDB: Code Graphs and Swarms

#agents #database #rag #softwaredevelopment
Comments
6 min read
RAG-Anything: Cómo Hacer RAG con PDFs que Tienen Imágenes, Tablas y Ecuaciones
yodev_grego profile

RAG-Anything: Cómo Hacer RAG con PDFs que Tienen Imágenes, Tablas y Ecuaciones

#llm #opensource #python #rag
Comments
7 min read
Bad RAG Answers? Check Retrieval Before You Touch the Prompt
promptmaster profile

Bad RAG Answers? Check Retrieval Before You Touch the Prompt

#ai #rag #llm #programming
Comments 1
6 min read
Embedding Model Selection for Chatbot RAG Semantic Search: CRM Action Gates
matsjohansson6547 profile

Embedding Model Selection for Chatbot RAG Semantic Search: CRM Action Gates

#ai #rag #python
Comments
6 min read
Migration Guide: Dialogflow CX to LlamaIndex RAG Agent (OpenAI Responses API)
bhkbdbhatt profile

Migration Guide: Dialogflow CX to LlamaIndex RAG Agent (OpenAI Responses API)

#architecture #llm #openai #rag
Comments
5 min read
👋 Sign in for the ability to sort posts by relevant, latest, or top.