{"id":468445,"date":"2024-10-14T09:32:51","date_gmt":"2024-10-14T09:32:51","guid":{"rendered":"https:\/\/webkul.com\/blog\/?p=468445"},"modified":"2024-10-22T04:43:50","modified_gmt":"2024-10-22T04:43:50","slug":"manage-memory-e-commerce-ai-chatbot","status":"publish","type":"post","link":"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/","title":{"rendered":"How to manage memory in e-commerce AI Chatbot"},"content":{"rendered":"\n<p>The <a href=\"https:\/\/webkul.com\/blog\/adobe-commerce-ai-chatbot-open-source-llm-documentation\/\">AI chatbot<\/a> plays a vital role in e-commerce. To improve user interaction efficient memory management is required. Here\u2019s how we can enhance this process.<\/p>\n\n\n\n<p>The Embeddings and History messages are the two main factors in memory management<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"800\" height=\"440\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/10\/memoryoptimization.webp\" alt=\"chat bot memory management \" class=\"wp-image-469257\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/10\/memoryoptimization.webp 800w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/10\/memoryoptimization-300x165.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/10\/memoryoptimization-250x138.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/10\/memoryoptimization-768x422.webp 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Embeddings in e-commerce AI Chatbot<\/h2>\n\n\n\n<p>The numerical representation of words is <a href=\"https:\/\/webkul.com\/blog\/what-is-vector-embedding-and-its-role-in-magento-2\/\">vector embeddings<\/a>. They contain meaning and context and allow data similar to the user&#8217;s query.<\/p>\n\n\n\n<p>For example, the user might ask an e-commerce AI chatbot, &#8220;Specifically, do you have blue jeans?&#8221;<\/p>\n\n\n\n<p>First, it converts text to embeddings. Then, it finds similar products using a similarity search in a vector database where our product embeddings are already stored. <\/p>\n\n\n\n<p>So we get similar products through embeddings and this data is sent to an AI Chatbot.<\/p>\n\n\n\n<p>AI chatbot: Yes, we have blue jeans. Here are the details&#8230;. .<\/p>\n\n\n\n<p>That&#8217;s why embeddings are important in AI chatbots.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Methods to create Embeddings<\/h3>\n\n\n\n<p>There are many ways to create contextual embeddings<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>TF-IDF<\/li>\n\n\n\n<li>Word2vec<\/li>\n\n\n\n<li>Glove<\/li>\n\n\n\n<li>BERT<\/li>\n\n\n\n<li>Transformers, etc<\/li>\n<\/ul>\n\n\n\n<p>In recent times, transformer-based embedding has been the best as compared to others. <\/p>\n\n\n\n<p>When we use transformers to create embeddings, it requires a decent CPU and RAM. Suppose we have to make 1 lakh product embeddings, so it increases the CPU and memory Usage.<\/p>\n\n\n\n<p>Suppose 20k users are queried at the same time then this also increases the load while creating embeddings. The embedding creation task will be slow<\/p>\n\n\n\n<p>Here is the solution, Using Hosted Embeddings APIs.<\/p>\n\n\n\n<p><strong>Hosted Embeddings APIs<\/strong><\/p>\n\n\n\n<p>Here are some hosted APIs:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>openai<\/strong>: provide text-embedding-3-small, text-embedding-3-large and text-embedding-ada-002 models for creating embeddings.<\/li>\n\n\n\n<li><strong>Gemini<\/strong>: provide text-embedding-004 embedding model.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Advantages of Using Embedding APIs<\/h3>\n\n\n\n<p>These are pre-trained embedding models APIs. It saves time compared to developing local embedding solutions. Developers can then concentrate on improving the chatbot\u2019s features.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">History Messages in e-commerce AI Chatbot<\/h2>\n\n\n\n<p>History messages are also part of the AI chatbot which helps users to chat continuously. These chats took up space of memory.<\/p>\n\n\n\n<p>We can use session a based approach, it is easy to implement and fast but leads to data loss and limited context.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Best Practices for Memory Management<\/h2>\n\n\n\n<p>These are some basic practices for memory management:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Hosted API<\/strong>: Selecting the right hosted model API, as a result, embedding creation load reduced.<\/li>\n\n\n\n<li><strong>Embedding Size<\/strong>: The embedding size should contain more context meaning with minimum size for efficient memory usage.<\/li>\n\n\n\n<li><strong>Vector DataBase<\/strong>: Select a memory-efficient vector database like chromadb.<\/li>\n\n\n\n<li><strong>Database-based storage<\/strong>: Use database storage to manage proper chat history and strategies to manage history efficiently.<\/li>\n\n\n\n<li><strong>Message Capping<\/strong>: E.g., selecting the last 10 messages, and Dynamic Trimming &#8211; removing older messages and selecting the right storage.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Checkout our latest e-commerce AI Chatbot<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/store.webkul.com\/magento2-open-source-ai-chatbot.html\">Magento 2 AI Chatbot<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/store.webkul.com\/prestashop-ai-chatbot-using-llm.html\">Prestashop AI Chatbot<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/store.webkul.com\/shopware-chatbot-openai-chatgpt-llm.html\">Shopware Chatbot<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/store.webkul.com\/CS-Cart-ChatBot.html\">CS-Cart Chatbot<\/a><\/li>\n<\/ul>\n\n\n\n<p>This is our Magento 2 AI chatbot, which works with dynamic embedding APIs and is memory efficient.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1120\" height=\"880\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/05\/3-webkul-magento2-ai-chatbot-query.webp\" alt=\"Magento e-commerce AI Chatbot\" class=\"wp-image-441688\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/05\/3-webkul-magento2-ai-chatbot-query.webp 1120w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/05\/3-webkul-magento2-ai-chatbot-query-300x236.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/05\/3-webkul-magento2-ai-chatbot-query-250x196.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2024\/05\/3-webkul-magento2-ai-chatbot-query-768x603.webp 768w\" sizes=\"(max-width: 1120px) 100vw, 1120px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>Effective memory management in e-commerce AI chatbots is providing outstanding user experiences. By adopting these strategies, businesses can optimize their processes, scalability and efficiency.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The AI chatbot plays a vital role in e-commerce. To improve user interaction efficient memory management is required. Here\u2019s how we can enhance this process. The Embeddings and History messages are the two main factors in memory management Embeddings in e-commerce AI Chatbot The numerical representation of words is vector embeddings. They contain meaning and <a href=\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/\">[&#8230;]<\/a><\/p>\n","protected":false},"author":620,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13702],"tags":[7836,13571,4181,7547,30,7240],"class_list":["post-468445","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-ai-chatbot","tag-artificial-intelligence","tag-chatbot","tag-chatbot-webkul","tag-e-commerce","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to manage memory in e-commerce AI Chatbot - Webkul Blog<\/title>\n<meta name=\"description\" content=\"Explore how to manage memory in e-commerce AI chatbot using embedding APIs to enhance user interactions and improve overall efficiency.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to manage memory in e-commerce AI Chatbot - Webkul Blog\" \/>\n<meta property=\"og:description\" content=\"Explore how to manage memory in e-commerce AI chatbot using embedding APIs to enhance user interactions and improve overall efficiency.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/\" \/>\n<meta property=\"og:site_name\" content=\"Webkul Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/webkul\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-14T09:32:51+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-10-22T04:43:50+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/webkul.com\/blog\/wp-content\/uploads\/2024\/10\/memoryoptimization.webp\" \/>\n<meta name=\"author\" content=\"Darshan\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@webkul\" \/>\n<meta name=\"twitter:site\" content=\"@webkul\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Darshan\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/\"},\"author\":{\"name\":\"Darshan\",\"@id\":\"https:\/\/webkul.com\/blog\/#\/schema\/person\/dd668ee0a2ff124a8f4991edddd4f8cb\"},\"headline\":\"How to manage memory in e-commerce AI Chatbot\",\"datePublished\":\"2024-10-14T09:32:51+00:00\",\"dateModified\":\"2024-10-22T04:43:50+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/\"},\"wordCount\":497,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/webkul.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/webkul.com\/blog\/wp-content\/uploads\/2024\/10\/memoryoptimization.webp\",\"keywords\":[\"AI ChatBot\",\"Artificial Intelligence\",\"chatbot\",\"Chatbot Webkul\",\"e-commerce\",\"machine learning\"],\"articleSection\":[\"machine learning\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/\",\"url\":\"https:\/\/webkul.com\/blog\/manage-memory-e-commerce-ai-chatbot\/\",\"name\":\"How to manage memory in e-commerce AI Chatbot - 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