imixs/office-dynamixs-ai
imixs/office-dynamixs-ai
4
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

update

Browse source
This commit is contained in:
Ralph Soika 2025-06-06 10:32:36 +02:00
parent 1e07854375
commit c00bf251b6
1 changed files with 1 additions and 1 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
doc/RAG.md
View file

@ -10,7 +10,7 @@ By integrating RAG capabilities directly into Business Process Management (BPM)
## 2. Introduction & Problem Statement ## 2. Introduction & Problem Statement
Retrieval-Augmented Generation (RAG) represents a significant advancement in AI-powered information systems, combining the generative capabilities of Large Language Models (LLMs) with dynamic information retrieval from external knowledge bases. Unlike traditional LLMs that rely solely on their training data, RAG systems Retrieval-Augmented Generation (RAG) represents a significant advancement in AI-powered information systems, combining the generative capabilities of Large Language Models (LLMs) with dynamic information retrieval from internal knowledge bases. Unlike traditional LLMs that rely solely on their training data, RAG systems
1. first search through current document repositories to **retrieve** relevant information, 1. first search through current document repositories to **retrieve** relevant information,
2. then use this retrieved context to **argument** the problem 2. then use this retrieved context to **argument** the problem