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.
Counting OpenAI Tokens per Request in FastAPI — Without Touching My Use Cases

Counting OpenAI Tokens per Request in FastAPI — Without Touching My Use Cases

Comments
6 min read
How to Build Retrieval Architecture for a Multi-Tenant SaaS Help Center (with Pagination)

How to Build Retrieval Architecture for a Multi-Tenant SaaS Help Center (with Pagination)

Comments
5 min read
Enterprise RAG Has a Blindspot Nobody Measures: We Fixed It with a Temporal Claim Graph on FalkorDB

Enterprise RAG Has a Blindspot Nobody Measures: We Fixed It with a Temporal Claim Graph on FalkorDB

Comments
5 min read
E-commerce Product Search: 5 Query Bounds for Grounded Semantic Retrieval

E-commerce Product Search: 5 Query Bounds for Grounded Semantic Retrieval

Comments
6 min read
pg_vectorsearch vs pgvector: The 42-Hour Vector Index Just Became a 100-Minute One

pg_vectorsearch vs pgvector: The 42-Hour Vector Index Just Became a 100-Minute One

2
Comments
7 min read
Recruiting Candidate Search Retrieval: Source Deduplication and Traceable Context

Recruiting Candidate Search Retrieval: Source Deduplication and Traceable Context

Comments
7 min read
Postgres Retrieval for Healthcare Appointment Recovery (Across 3 Retention Windows)

Postgres Retrieval for Healthcare Appointment Recovery (Across 3 Retention Windows)

Comments
6 min read
How to Build Legal Contract Retrieval in Python (with Tenant Isolation)

How to Build Legal Contract Retrieval in Python (with Tenant Isolation)

Comments
7 min read
Build HNSW in TypeScript and Watch Recall Fall as You Lower efSearch

Build HNSW in TypeScript and Watch Recall Fall as You Lower efSearch

Comments
10 min read
7 'Implantes RAG' INVISIBLES en ChatGPT: Datos que NO ves

7 'Implantes RAG' INVISIBLES en ChatGPT: Datos que NO ves

Comments
7 min read
Shipping an Agentic RAG Assistant on AWS Lambda with LangGraph and Terraform

Shipping an Agentic RAG Assistant on AWS Lambda with LangGraph and Terraform

1
Comments 1
6 min read
Node.js API to Legally Scrape and Index a Competitor Docs Site

Node.js API to Legally Scrape and Index a Competitor Docs Site

Comments
6 min read
Building Grounded Retrieval for News Change Alerts (with Durable Citations)

Building Grounded Retrieval for News Change Alerts (with Durable Citations)

Comments
6 min read
RAG chunking — 5 strategies with runnable Python

RAG chunking — 5 strategies with runnable Python

1
Comments
7 min read
BOOTH Was Featured in Python Weekly: A Small Milestone for My Open-Source Project

BOOTH Was Featured in Python Weekly: A Small Milestone for My Open-Source Project

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