feat: add autoflow in rag section (#261)

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Cheese 2025-02-17 16:28:57 +08:00 committed by GitHub
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# Autoflow
<a href="https://trendshift.io/repositories/12294" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12294" alt="pingcap%2Fautoflow | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
[AutoFlow](https://github.com/pingcap/autoflow) is an open-source knowledge base tool based on GraphRAG (Graph-based Retrieval-Augmented Generation), built on [TiDB](https://www.pingcap.com/ai?utm_source=tidb.ai&utm_medium=community) Vector, LlamaIndex, and DSPy. It provides a Perplexity-like search interface and allows easy integration of AutoFlow's conversational search window into your website by embedding a simple JavaScript snippet.
## UI
1. **Perplexity-style Conversational Search page**: Our platform features an advanced built-in website crawler, designed to elevate your browsing experience. This crawler effortlessly navigates official and documentation sites, ensuring comprehensive coverage and streamlined search processes through sitemap URL scraping.
![Image](https://github.com/user-attachments/assets/50a4e5ce-8b93-446a-8ce7-11ed7844bd1e)
2. **Embeddable JavaScript Snippet**: Integrate our conversational search window effortlessly into your website by copying and embedding a simple JavaScript code snippet. This widget, typically placed at the bottom right corner of your site, facilitates instant responses to product-related queries.
![Image](https://github.com/user-attachments/assets/f0dc82db-c14d-4863-a242-c7da3a719568)
## Integrate with Deepseek API
- Click the tab `Models` then `LLMs` to enter the LLM model management page.
- Click the `Create` button to create a new LLM model.
- Input data like below, then click the `Create LLM` button.
![Image](https://github.com/user-attachments/assets/875cac18-707b-465f-ac62-89ddb416f94d)