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使用私有 AI 增强您的 Ibexa DXP 项目.pdf

上传人: 芦苇 编号:651749 2025-05-01 36页 3.65MB

1、with Private AIAugumenting your Ibexa DXP ProjectMATEUSZ BIENIEKPrivate AIHugging Facehttps:/huggingface.coClick to edit Master title styleVery popular LLM by METAFree for(almost all)Commercial UseModel Sizes(1B,3B,11B,etc)Text GenerationIntended use case:commercial and reasearchuse in multiple lang

2、uagesStatic model tranined on an offline dataset(Sep,2024)Llama-3.2-3B https:/huggingface.co/meta-llama/Llama-3.2-3BOllama Pltaform for running LLMs locally Support for many popular models Easy to install and run Runs on everything”(Windows,Linux,MacOS)Support for multiple hardware(M-series CPUs fro

3、m apple,GPUs,etc)OpenSource and MIT license Pros and Cons of running AI locally https:/ and Ibexa DXPLTS Update(Opt-in feature)Integrating Features provided by AI services in yourprojectBackend UISupport for multiple connectionVery customizable and extendableActions,Action Types,Action Configuration

4、s,Handlersand more!Requirement:AI Actions!AI Framework for Ibexa DXP!Custom ConnectorSimple Custom AI Connector in 3 stepsGenerate Text with OllamaActionAction TypeHandlerLigths CameraACTIONLigths CameraACTIONLigths CameraACTION(Type)Ligths CameraHandler?Services!Demo 1!AI FunctionsAI FuntionsToolsP

5、rovide AI Agents with Dynamic DataAutomationsNot supported by all Modelstool_calls”responseAllow AI execute funtions in your code!New Tool”HandlerDemo 2!Semantic SearchSemantic SearchSemantic Search VS Keyword SearchVectorsEmbeddingsVector StoreSemantic search is a search engine technology that inte

6、rprets the meaning of words and phrases./Elastic.coVectorsEmbeddings Numerical representation of documents Captures semantics of the text Embedding of Question is highly similiarto the Answer Embedding models Generate vectors for text Embed

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本文主要介绍了Private AI与Ibexa DXP的整合,以及AI在商业和研究中的应用。Private AI提供了一个平台,支持多种流行的语言模型,如META的LLama-3.2-3B,适用于文本生成和多语言处理。Ollama是一个支持在本地运行LLMs的平台,支持多种硬件,具有开源和MIT许可的优势。文章还提到了AI Actions和AI Framework for Ibexa DXP,它们可以提供动态数据,支持自动化,并允许AI在代码中执行功能。此外,文章还讨论了语义搜索,以及如何使用向量存储和嵌入模型来提高搜索效果。最后,文章提到了上下文感知答案,以及如何使用Retrieval augmented generation(RAG)来提高AI的上下文意识。
"如何利用Private AI增强Ibexa DXP项目?" "Ollama平台如何支持本地运行大型语言模型?" "如何在Ibexa DXP中实现上下文感知回答功能?"
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