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.
Semantic Search Feature

Semantic Search Feature

5
Comments
5 min read
The ultimate guide to Retrieval-Augmented Generation (RAG)
Cover image for The ultimate guide to Retrieval-Augmented Generation (RAG)

The ultimate guide to Retrieval-Augmented Generation (RAG)

46
Comments
16 min read
How to Create Your Own RAG with Free LLM Models and a Knowledge Base
Cover image for How to Create Your Own RAG with Free LLM Models and a Knowledge Base

How to Create Your Own RAG with Free LLM Models and a Knowledge Base

15
Comments
7 min read
First step and troubleshooting Docling — RAG with LlamaIndex on my CPU laptop

First step and troubleshooting Docling — RAG with LlamaIndex on my CPU laptop

Comments
5 min read
Customize ChatGPT for Your Codebase : OpenAI
Cover image for Customize ChatGPT for Your Codebase : OpenAI

Customize ChatGPT for Your Codebase : OpenAI

4
Comments 2
10 min read
User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy
Cover image for User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy

User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy

Comments
11 min read
How Spring Boot and LangChain4J Enable Powerful Retrieval-Augmented Generation (RAG)

How Spring Boot and LangChain4J Enable Powerful Retrieval-Augmented Generation (RAG)

2
Comments
3 min read
Large Language Models (LLMs)

Large Language Models (LLMs)

Comments
1 min read
RAG Explained: Tackling the Big Problems in AI
Cover image for RAG Explained: Tackling the Big Problems in AI

RAG Explained: Tackling the Big Problems in AI

6
Comments 3
4 min read
Get Started with LangChain: A Step-by-Step Tutorial for Beginners
Cover image for Get Started with LangChain: A Step-by-Step Tutorial for Beginners

Get Started with LangChain: A Step-by-Step Tutorial for Beginners

5
Comments
4 min read
Function-based RAG: Extending LLMs Beyond Static Knowledge Bases
Cover image for Function-based RAG: Extending LLMs Beyond Static Knowledge Bases

Function-based RAG: Extending LLMs Beyond Static Knowledge Bases

5
Comments
15 min read
RAPTOR: A Novel Tree-Based Retrieval System for Enhancing Language Models – Research Summary
Cover image for RAPTOR: A Novel Tree-Based Retrieval System for Enhancing Language Models – Research Summary

RAPTOR: A Novel Tree-Based Retrieval System for Enhancing Language Models – Research Summary

1
Comments
2 min read
Understanding RAG and Long-Context LLMs: Insights from the SELF-ROUTE Hybrid Approach
Cover image for Understanding RAG and Long-Context LLMs: Insights from the SELF-ROUTE Hybrid Approach

Understanding RAG and Long-Context LLMs: Insights from the SELF-ROUTE Hybrid Approach

Comments
3 min read
Bolt.new with any LLM, you need to use it

Bolt.new with any LLM, you need to use it

17
Comments 1
2 min read
Building RAG-Powered Applications with LangChain, Pinecone, and OpenAI
Cover image for Building RAG-Powered Applications with LangChain, Pinecone, and OpenAI

Building RAG-Powered Applications with LangChain, Pinecone, and OpenAI

10
Comments 3
7 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.