Forem

# 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.
Le Wiki LLM : Une révolution dans la gestion de la connaissance
Cover image for Le Wiki LLM : Une révolution dans la gestion de la connaissance

Le Wiki LLM : Une révolution dans la gestion de la connaissance

1
Comments
9 min read
Why RAG Is Failing at Complex Questions (And How Knowledge Graphs Fix It)
Cover image for Why RAG Is Failing at Complex Questions (And How Knowledge Graphs Fix It)

Why RAG Is Failing at Complex Questions (And How Knowledge Graphs Fix It)

Comments
6 min read
Agentic AI
Cover image for Agentic AI

Agentic AI

Comments
2 min read
RAG in Practice — Part 7: Your RAG System Is Wrong. Here's How to Find Out Why.
Cover image for RAG in Practice — Part 7: Your RAG System Is Wrong. Here's How to Find Out Why.

RAG in Practice — Part 7: Your RAG System Is Wrong. Here's How to Find Out Why.

3
Comments 2
11 min read
RAG Is Not Dead: Advanced Retrieval Patterns That Actually Work in 2026

RAG Is Not Dead: Advanced Retrieval Patterns That Actually Work in 2026

Comments
6 min read
Week 5: RAG Systems and AI Agents - Where Distributed Systems Meet LLMs

Week 5: RAG Systems and AI Agents - Where Distributed Systems Meet LLMs

Comments 2
6 min read
The Gap Andrej Karpathy Didn't Fill
Cover image for The Gap Andrej Karpathy Didn't Fill

The Gap Andrej Karpathy Didn't Fill

17
Comments 8
5 min read
Migrating vector embeddings in production without downtime
Cover image for Migrating vector embeddings in production without downtime

Migrating vector embeddings in production without downtime

36
Comments 2
6 min read
10 Chunking Strategies That Make or Break Your RAG Pipeline
Cover image for 10 Chunking Strategies That Make or Break Your RAG Pipeline

10 Chunking Strategies That Make or Break Your RAG Pipeline

13
Comments
7 min read
How I Built a RAG-Based Law Assistant with LangChain and FAISS

How I Built a RAG-Based Law Assistant with LangChain and FAISS

1
Comments 2
3 min read
Integrating AI into a Legacy Broadcasting CMS(Content-uploading Manager System): Architecture Design

Integrating AI into a Legacy Broadcasting CMS(Content-uploading Manager System): Architecture Design

Comments
5 min read
Our Group project was chaos until this agent

Our Group project was chaos until this agent

Comments 1
6 min read
Why Most RAG Systems Fail in Production (And How to Design One That Actually Works)
Cover image for Why Most RAG Systems Fail in Production (And How to Design One That Actually Works)

Why Most RAG Systems Fail in Production (And How to Design One That Actually Works)

Comments 1
4 min read
Building a Scalable RAG Backend with Cloud Run Jobs and AlloyDB
Cover image for Building a Scalable RAG Backend with Cloud Run Jobs and AlloyDB

Building a Scalable RAG Backend with Cloud Run Jobs and AlloyDB

39
Comments 4
6 min read
Bringing The Receipts - 95% AI LLM Token Savings
Cover image for Bringing The Receipts - 95% AI LLM Token Savings

Bringing The Receipts - 95% AI LLM Token Savings

1
Comments
10 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.