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.
I Built 'Chat With Your Docs' From Scratch — Supabase + pgvector + a Free Local Embedder
dev48v profile

I Built 'Chat With Your Docs' From Scratch — Supabase + pgvector + a Free Local Embedder

#ai #rag #supabase #beginners
Comments
2 min read
Two Pre-Registered Benchmarks for Audit-Native RAG: RAB (EU AI Act 10/12/19) + LRB (Time-Travel Retrieval)
hashevolution profile

Two Pre-Registered Benchmarks for Audit-Native RAG: RAB (EU AI Act 10/12/19) + LRB (Time-Travel Retrieval)

#rag #llm #aiact #audit
Comments
3 min read
Most RAG Problems Are Retrieval Problems. Here Are 8 Fixes That Worked for Me
michaelmiscanuk profile

Most RAG Problems Are Retrieval Problems. Here Are 8 Fixes That Worked for Me

#ai #llm #machinelearning #rag
Comments
4 min read
Building Modular AI Agent Features with Pydantic AI Capabilities
joxiahdev profile

Building Modular AI Agent Features with Pydantic AI Capabilities

#ai #pydanticai #graphrag #rag
Comments
2 min read
A Chinese 8B model beat the Western 8B models at Japanese RAG. I still wouldn't put it in the default deployment — and that distinction is the point.
elvisyao007 profile

A Chinese 8B model beat the Western 8B models at Japanese RAG. I still wouldn't put it in the default deployment — and that distinction is the point.

#llm #rag #machinelearning #japan
Comments
4 min read
RAG should never be your default
chou_500 profile
Chou

RAG should never be your default

#rag #llm #ai
Comments
3 min read
Define the state of our agent
maria_josegonzalezantel_80 profile

Define the state of our agent

#agents #ai #career #rag
Comments 1
6 min read
Query Rewriting Before Retrieval: The Cheap Recall Win Most Skip
gabrielanhaia profile

Query Rewriting Before Retrieval: The Cheap Recall Win Most Skip

#rag #ai #llm #howto
Comments
7 min read
AI Agents Level Up Workflows: Terraform MCP, WebMCP, Pinecone Integrations
soytuber profile
soy

AI Agents Level Up Workflows: Terraform MCP, WebMCP, Pinecone Integrations

#ai #rag #automation
Comments
4 min read
Context Compression Before the LLM: Cutting Tokens Without Cutting Recall
gabrielanhaia profile

Context Compression Before the LLM: Cutting Tokens Without Cutting Recall

#rag #ai #llm #python
Comments
6 min read
# GraphRAG: The End-to-End Guide to Reducing Hallucination and Automating Complex Workflows
nikhil_ramank_152ca48266 profile

# GraphRAG: The End-to-End Guide to Reducing Hallucination and Automating Complex Workflows

#ai #rag #graphrag #llm
Comments
15 min read
Metadata Filtering Before Vector Search: The Recall Win Nobody Measures
gabrielanhaia profile

Metadata Filtering Before Vector Search: The Recall Win Nobody Measures

#rag #ai #llm #database
Comments
7 min read
Why my first RAG layer starts in Postgres, not in a standalone vector database
rkrisa profile

Why my first RAG layer starts in Postgres, not in a standalone vector database

#ai #rag #postgres #architecture
Comments
3 min read
I Built 48 Production AI Systems in 60 Days — Here Is What Nobody Tells You About Real AI Engineering
danish08654 profile

I Built 48 Production AI Systems in 60 Days — Here Is What Nobody Tells You About Real AI Engineering

#ai #machinelearning #langchain #rag
1
Comments 1
8 min read
I built a "boring" RAG demo over World Cup data — SQLite, sqlite-vec, and no framework
gandhipk profile

I built a "boring" RAG demo over World Cup data — SQLite, sqlite-vec, and no framework

#rag #ai #sqlite #llm
Comments
4 min read
👋 Sign in for the ability to sort posts by relevant, latest, or top.