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.
Four pgvector patterns that kept our RAG SaaS on one Postgres
incultnitollc profile

Four pgvector patterns that kept our RAG SaaS on one Postgres

#postgres #rag #ai #typescript
Comments
6 min read
Practical Agent Architecture: State, Failure Recovery, and the Hidden Variables of Reliable LLM Systems
theshovonsaha profile

Practical Agent Architecture: State, Failure Recovery, and the Hidden Variables of Reliable LLM Systems

#ai #programming #rag #mcp
1
Comments 1
5 min read
AI Agent Security, Open-Source Code Generation, and Frontier Models on Bedrock
soytuber profile
soy

AI Agent Security, Open-Source Code Generation, and Frontier Models on Bedrock

#ai #rag #automation
Comments
4 min read
Why Not Every AI Application Needs Vector Embeddings
syed11 profile

Why Not Every AI Application Needs Vector Embeddings

#ai #architecture #database #rag
1
Comments 1
7 min read
Production RAG at Scale: Lessons from Processing 10,000+ Listings Daily
abdul___rehman profile

Production RAG at Scale: Lessons from Processing 10,000+ Listings Daily

#rag #ai #production #nextjs
1
Comments 1
6 min read
RAG vs Fine-Tuning: Which Approach Should You Choose?
bhanu_prasad_125421a16532 profile

RAG vs Fine-Tuning: Which Approach Should You Choose?

#ai #llm #machinelearning #rag
Comments
3 min read
Building a multi-agent document-search copilot — Part 2: adaptive Hybrid, and a permission gate after the rank
rdiegoss profile

Building a multi-agent document-search copilot — Part 2: adaptive Hybrid, and a permission gate after the rank

#ai #rag #architecture #bedrock
Comments 4
6 min read
RAG-Based Testing Series — Part 4: Edge Cases — What Breaks RAG & How to Catch It
sshhfaiz profile

RAG-Based Testing Series — Part 4: Edge Cases — What Breaks RAG & How to Catch It

#testing #ai #rag #python
7
Comments 1
14 min read
RAG-Based Testing Series — Part 3: Faithfulness & Hallucination Detection
sshhfaiz profile

RAG-Based Testing Series — Part 3: Faithfulness & Hallucination Detection

#testing #ai #rag #python
5
Comments
9 min read
I Contributed to Chroma's Open-Source Docs — Here's What I Changed and What I Learned
saintchris_21 profile

I Contributed to Chroma's Open-Source Docs — Here's What I Changed and What I Learned

#ai #database #opensource #rag
Comments
4 min read
AI Output Provenance for SaaS: Trace Answers Before They Become Liability
jackm-singularity profile

AI Output Provenance for SaaS: Trace Answers Before They Become Liability

#ai #llm #rag #saas
2
Comments
9 min read
RAG in 8 Layers: The Production Mental Model Most Tutorials Skip
aashna_mahajan profile

RAG in 8 Layers: The Production Mental Model Most Tutorials Skip

#rag #ai #python #vectordatabase
Comments
16 min read
TradeMemory An AI-Powered Persistence Layer for Disciplined Trading
kavitakri9835 profile

TradeMemory An AI-Powered Persistence Layer for Disciplined Trading

#showdev #ai #rag #webdev
1
Comments
3 min read
The Data Ingestion Pipeline Nobody Designs Well Until Production Breaks It
alaikrm profile

The Data Ingestion Pipeline Nobody Designs Well Until Production Breaks It

#ai #dataengineering #rag #systemdesign
Comments
5 min read
TradeMemory An AI-Powered Persistence Layer for Disciplined Trading
rajanp123 profile

TradeMemory An AI-Powered Persistence Layer for Disciplined Trading

#showdev #ai #llm #rag
Comments
3 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.