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.
Building a RAG Pipeline with FastAPI — Part 1: From Documents to Vector Data
azariah_arthur_5ae83be2ec profile

Building a RAG Pipeline with FastAPI — Part 1: From Documents to Vector Data

#ai #python #rag #fastapi
1
Comments
3 min read
From Software Engineer to AI Engineer - Part 4: RAG-ing the facts
bjornvdlaan profile

From Software Engineer to AI Engineer - Part 4: RAG-ing the facts

#ai #llm #rag #softwareengineering
Comments
9 min read
RAG Without the Hype: Make Retrieval Observable, Testable, and Replaceable
tonal profile

RAG Without the Hype: Make Retrieval Observable, Testable, and Replaceable

#java #ai #llm #rag
2
Comments 2
3 min read
I Built an Agentic Hybrid RAG System with FAISS and BM25
sonuolikkara profile

I Built an Agentic Hybrid RAG System with FAISS and BM25

#agents #llm #python #rag
1
Comments
4 min read
Building an Agentic Hybrid RAG System with FAISS, BM25, and smolagents
halan_pbabu_202f93123bd9 profile

Building an Agentic Hybrid RAG System with FAISS, BM25, and smolagents

#ai #python #machinelearning #rag
2
Comments
4 min read
How to Version Claim Documents Without Breaking Retrieval — an Intake Runbook
liraelvex6403 profile

How to Version Claim Documents Without Breaking Retrieval — an Intake Runbook

#rag #architecture #go #sre
Comments
8 min read
RAG Explained Simply: How to Teach AI About Your Private Data
its_ryann profile

RAG Explained Simply: How to Teach AI About Your Private Data

#rag #beginners #learning #ai
1
Comments
4 min read
Building a Sub-Second Enterprise RAG Engine with PostgreSQL, pgvector, and the Gemini API
rohankhedekar21 profile

Building a Sub-Second Enterprise RAG Engine with PostgreSQL, pgvector, and the Gemini API

#postgressql #ai #rag #python
2
Comments 1
4 min read
Exploring AI for Humanitarian Impact at the Ubuntu Voice Hackathon
valentine-it profile

Exploring AI for Humanitarian Impact at the Ubuntu Voice Hackathon

#agents #ai #llm #rag
Comments 1
2 min read
The six problems between a chat demo and a multi-tenant agent
kahveciderin profile

The six problems between a chat demo and a multi-tenant agent

#saas #ai #rag #typescript
Comments
2 min read
Filling GPT-6 Astra's 1M-Token Window Costs $10 a Call
gabrielanhaia profile

Filling GPT-6 Astra's 1M-Token Window Costs $10 a Call

#ai #typescript #rag #openai
1
Comments 1
10 min read
Building My First RAG System: From Components to Knowledge and Query Pipelines - Part Two
timilehin-olusegun profile

Building My First RAG System: From Components to Knowledge and Query Pipelines - Part Two

#ai #rag #llm #architecture
4
Comments
4 min read
RAG Retrieval Gotchas at Scale: Insights and Solutions
the-hive-collective profile

RAG Retrieval Gotchas at Scale: Insights and Solutions

#rag #nlp #scalability #ai
1
Comments 1
4 min read
Why Your Cold Email AI Needs a Vector DB, Not a Better Prompt?
reachiq profile

Why Your Cold Email AI Needs a Vector DB, Not a Better Prompt?

#ai #rag #machinelearning #saas
Comments
4 min read
Build a rag legal research assistant that drafts briefs in under 10 minutes
samchenreviews profile

Build a rag legal research assistant that drafts briefs in under 10 minutes

#n8n #python #rag #api
1
Comments 2
8 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.