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.
A support chatbot that knows when to say "I don't know"

A support chatbot that knows when to say "I don't know"

Comments
3 min read
Every new model has a 1M-token context window. Do you still need retrieval?

Every new model has a 1M-token context window. Do you still need retrieval?

Comments
3 min read
Our hospital chatbot cheated at its own exams — on purpose

Our hospital chatbot cheated at its own exams — on purpose

Comments
3 min read
Which search API gives an LLM the most up-to-date answers about recent events?

Which search API gives an LLM the most up-to-date answers about recent events?

Comments
5 min read
Which search API works best as a tool inside an AI agent?

Which search API works best as a tool inside an AI agent?

Comments
7 min read
Fintech PDF Vectors in Node.js: Catching Dimension Mismatch Before Bulk Ingestion

Fintech PDF Vectors in Node.js: Catching Dimension Mismatch Before Bulk Ingestion

Comments
7 min read
Multi-tenant RAG: stop one customer's documents leaking into another's answers

Multi-tenant RAG: stop one customer's documents leaking into another's answers

Comments
4 min read
Financial Research Dashboard Retrieval: Scheduling PDF Chunks Without Full Reindexing

Financial Research Dashboard Retrieval: Scheduling PDF Chunks Without Full Reindexing

Comments
7 min read
Retrieval Architecture for Healthcare Appointment Assistants and Ranking Signals Explained

Retrieval Architecture for Healthcare Appointment Assistants and Ranking Signals Explained

Comments
5 min read
Tenant-Isolated Retrieval for Healthcare Appointment Assistants — A Traceable Runbook

Tenant-Isolated Retrieval for Healthcare Appointment Assistants — A Traceable Runbook

Comments
6 min read
Deleted Document Still Appears in Search Results (Verifying Vector Erasure)

Deleted Document Still Appears in Search Results (Verifying Vector Erasure)

Comments
5 min read
Context engineering — what replaced prompt engineering

Context engineering — what replaced prompt engineering

Comments
7 min read
Knowhere hit 4,000 GitHub stars! Here is how we built progressive PDF ingestion

Knowhere hit 4,000 GitHub stars! Here is how we built progressive PDF ingestion

Comments
5 min read
Caching Retrieval Architecture for a Privacy-Focused Personal Knowledge Manager — Recovery

Caching Retrieval Architecture for a Privacy-Focused Personal Knowledge Manager — Recovery

Comments
6 min read
Retrieval Architecture for a Restaurant Menu Assistant: Traceable Delete Semantics

Retrieval Architecture for a Restaurant Menu Assistant: Traceable Delete Semantics

Comments
6 min read
👋 Sign in for the ability to sort posts by relevant, latest, or top.