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feat: add autoflow in rag section (#261)

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@ -264,13 +264,16 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/ragflow/README.md"> RAGFlow </a> </td>
<td> An open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data. </td>
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<td> <img src="https://raw.githubusercontent.com/pingcap/tidb.ai/main/frontend/app/public/nextra/icon-dark.svg" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/autoflow/README.md"> Autoflow </a> </td>
<td> <a href="https://github.com/pingcap/autoflow">AutoFlow</a> is an open-source knowledge base tool based on GraphRAG (Graph-based Retrieval-Augmented Generation), built on <a href="https://www.pingcap.com/ai?utm_source=tidb.ai&utm_medium=community">TiDB</a> 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. </td>
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<td> <img src="https://assets.zilliz.com/Zilliz_Logo_Mark_White_20230223_041013_86057436cc.png" alt="Icon" width="64" height="auto" /> </td>
<td> <a href="https://github.com/zilliztech/deep-searcher"> DeepSearcher </a> </td>
<td> DeepSearcher combines powerful LLMs (DeepSeek, OpenAI, etc.) and Vector Databases (Milvus, etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report. </td>
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### Solana frameworks