pengjunjie/ragflow
1
0
Fork 1
mirror of https://github.com/infiniflow/ragflow.git synced 2025-12-08 20:42:30 +08:00
Code Issues Packages Projects Releases Wiki Activity

Added instructions on embedding agent or assistant into a third-party webpage (#4369)

Browse Source 
### What problem does this PR solve?


### Type of change

- [x] Documentation Update
This commit is contained in:
writinwaters
2025-01-06 20:25:47 +08:00
committed by GitHub
parent 1d93eb81ae
commit bb24e5f739
7 changed files with 49 additions and 20 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
docs/guides/agent/text2sql_agent.md
View File

@ -1,5 +1,5 @@
---
sidebar_position: 3
sidebar_position: 10
slug: /text2sql_agent
---
@ -9,7 +9,7 @@ Build a Text2SQL agent leverging RAGFlow's RAG capabilities. Contributed by @Tes
## Scenario
The Text2SQL agent is designed to bridge the gap between Natural Language Processing (NLP) and Structured Query Language (SQL). Its key advantages are as follows:
The Text2SQL agent bridges the gap between Natural Language Processing (NLP) and Structured Query Language (SQL). Its key advantages are as follows:
- **Assisting non-technical users with SQL**: Not all users have a background in SQL or understand the structure of the tables involved in queries. With a Text2SQL agent, users can pose questions or request data in natural language without needing an in-depth knowledge of the database structure or SQL syntax.
@ -31,7 +31,7 @@ However, traditional Text2SQL solutions often require model fine-tuning, which c
A list of components required:
- Begin
- [Begin](https://ragflow.io/docs/dev/begin_component)
- Interface
- Retrieval
- Generate