Transitioning a RAG chatbot from proof-of-concept to production requires careful planning of the evaluation, feedback, and improvement cycle. We need to define clear metrics to measure the chatbot’s accuracy and performance, and implement ways to collect valuable user feedback. This feedback, com...
作者也指出了实施 GraphRAG 面临的挑战,包括知识图谱构建的复杂性、可扩展性问题以及维护成本等。但它无疑为 AI 对话系统开辟了一条新的发展道路,我们有理由期待未来的AI助手能够更智能、更可靠地回答各种复杂问题,为用户提供更高质量的交互体验。 作者| Rendy Dalimunthe 编译| 岳扬 开发一个能够处理真实问题并给...
比如说，假设你正在为公司的帮助文档构建一个 chatbot，但发现它的效果不佳。这时应该首先检查的是输入系...
[5]https://www.mattambrogi.com/posts/recency-for-chatbots/ [6]https://docs.cohere.com/docs/reranking [7]http://boston.lti.cs.cmu.edu/luyug/HyDE/HyDE.pdf [8]https://gpt-index.readthedocs.io/en/v0.6.9/how_to/query/query... [9]https://medium.com/llamaindex-blog/fine-tuning-em...
Consider a customer support chatbot: a RAG-powered system can retrieveup-to-date product manualsor troubleshooting guides, enabling precise and timely responses. This contrasts with static models, which risk providing outdated or generic answers. A notable example is BloombergGPT, which uses RAG to ...
When selecting tools for RAG,integration flexibilityis paramount. Frameworks like Hugging Face Transformers excel here, offering pre-trained models and seamless compatibility with dense retrievers like DPR (Dense Passage Retrieval). For instance, a customer support chatbot can leverage these tools to retr...
作者也指出了实施 GraphRAG 面临的挑战,包括知识图谱构建的复杂性、可扩展性问题以及维护成本等。但它无疑为 AI 对话系统开辟了一条新的发展道路,我们有理由期待未来的AI助手能够更智能、更可靠地回答各种复杂问题,为用户提供更高质量的交互体验。 作者| Rendy Dalimunthe ...
快速理解 GraphRAG:构建更可靠、更智能的 Chatbot 编者按:传统的检索增强生成(RAG)技术在处理需要深入理解实体关系的问题时常常力不从心,那么有什么新的技术可以突破这一限制吗? 本文深入探讨了 GraphRAG 技术,这一创新方案通过将非结构化文本转化为结构化知识图谱,巧妙地解决了上述难题。GraphRAG 能显著提升 AI ...
external databases to fetch relevant information, the retrieval process can introduce delays, especially when querying large or distributed datasets. For example, a customer service chatbot retrieving warranty details from multiple regional servers may experience noticeable lag, disrupting the user experience...
https://miro.medium.com/v2/resize:fit:828/format:webp/0*6Echw6-32Qn8XbY2.png 作者图片 一旦选择,就可以聊天。 作者图片 这阻止我们创建 streamlit 或 gradio UI 界面来尝试各种开源 LLM、进行演示等。 我们现在可以与任何 PDF 文件进行聊天: