{"id":1292,"date":"2026-10-28T09:08:12","date_gmt":"2026-10-28T09:08:12","guid":{"rendered":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/"},"modified":"2026-10-28T09:45:08","modified_gmt":"2026-10-28T09:45:08","slug":"comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2","status":"publish","type":"post","link":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/","title":{"rendered":"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent"},"content":{"rendered":"<h1>Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent<\/h1>\n<div class=\"callout\" style=\"background:#f0f9ff;border-left:4px solid #0284c7;padding:15px;margin:20px 0;border-radius:4px\"><strong>Key Takeaways:<\/strong><\/p>\n<ul>\n<li>Recommendica is an AI-powered research paper recommendation platform featuring a multi-turn Relevance Agent, live arXiv fallback, and semantic paper discovery.<\/li>\n<li>The platform prevents hallucinations by filtering out irrelevant papers before context generation.<\/li>\n<li>It integrates a pay-what-you-want donation system with Paddle to offset API costs.<\/li>\n<li>Recommendica is optimized for academic and industry researchers seeking relevant scientific literature.<\/li>\n<\/ul>\n<div class=\"project-access-box\" style=\"background:#f0f9ff;border:1px solid #bae6fd;border-left:4px solid #0284c7;padding:12px 18px;margin:20px 0;border-radius:4px\"><strong>Live Project Access:<\/strong> <a href=\"https:\/\/recommendica.nevatal.id\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/recommendica.nevatal.id<\/a><\/div>\n<\/div>\n<h2>The Challenge: Why Recommendica &#8211; Agentic Research Paper Recommender Was Built<\/h2>\n<p>Traditional semantic research search engines often return top-K results, even if they are irrelevant to the user&#8217;s query. This leads to RAG systems generating answers based on unrelated papers. Additionally, local research databases are static and cannot provide recent papers that were never ingested. Recommendica addresses these issues by wrapping search in an active, multi-turn Relevance Agent and a Live arXiv Fallback.<\/p>\n<h2>Core Architecture &amp; Technical Stack Deep-Dive<\/h2>\n<p>Recommendica is designed as a Python Django REST backend communicating with a React frontend. It leverages local database states, local embeddings, and external API gateways. The core backend pipeline employs concurrent workers to speed up evaluation while protecting external dependencies via rate limiters and circuit breakers.<\/p>\n<h3>Tech Stack<\/h3>\n<ul>\n<li>Backend: Django \/ FastAPI<\/li>\n<li>Frontend: React<\/li>\n<li>Database: ChromaDB<\/li>\n<li>External APIs: arXiv.org REST API, Paddle Billing Webhooks, OpenRouter<\/li>\n<li>Deployment: Docker Compose<\/li>\n<\/ul>\n<h2>Key Features Breakdown &amp; Practical Benefits<\/h2>\n<h3>Multi-turn Relevance Agent<\/h3>\n<p>The Relevance Agent grades vector search candidates against the original question, filters out unrelated documents, and dynamically rewrites query terms to run secondary search cycles when context is thin.<\/p>\n<h3>Live arXiv Fallback<\/h3>\n<p>If local search yields insufficient papers, the system queries the live arXiv.org API, grades the live search results, and blends them into the final context window.<\/p>\n<h3>Pay-What-You-Want Donations<\/h3>\n<p>To cover API costs, the UI displays a Paddle donation modal. The backend generates transaction IDs dynamically based on whatever decimal amount the user enters.<\/p>\n<h2>Real-World Use Cases &amp; Applications<\/h2>\n<p>Academic and industry researchers can discover relevant scientific literature without semantic hallucination. Automated multi-paper literature reviews and citation synthesis are made easier with Recommendica.<\/p>\n<h2>How It Works: Step-by-Step Workflow<\/h2>\n<p>When a query is accepted, the Relevance Agent coordinates retrieval:<\/p>\n<ol>\n<li>Retrieve candidates<\/li>\n<li>Grade candidate papers<\/li>\n<li>Keep papers with a score &gt;= threshold<\/li>\n<li>If relevant papers &lt; min docs, rewrite query and loop retry<\/li>\n<li>If still insufficient papers, query live arXiv API<\/li>\n<li>Grade &amp; merge results<\/li>\n<\/ol>\n<h2>Comparison: Recommendica &#8211; Agentic Research Paper Recommender vs Traditional Approaches<\/h2>\n<table>\n<thead>\n<tr>\n<th>Feature<\/th>\n<th>Recommendica<\/th>\n<th>Traditional Approaches<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Multi-turn Query Expansion<\/td>\n<td>Yes<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td>Live arXiv Fallback<\/td>\n<td>Yes<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td>Pay-What-You-Want Donations<\/td>\n<td>Yes<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td>Pre-Retrieval Query Checker<\/td>\n<td>Yes<\/td>\n<td>No<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Frequently Asked Questions (FAQ)<\/h2>\n<h3>What is the Relevance Agent?<\/h3>\n<p>The Relevance Agent is a multi-turn query expansion tool that grades document relevancy and dynamically reformulates search queries.<\/p>\n<h3>How does the Live arXiv Fallback work?<\/h3>\n<p>When local search yields insufficient papers, the system queries the live arXiv.org API, grades the live search results, and blends them into the final context window.<\/p>\n<h3>What is the purpose of the Pay-What-You-Want Donation system?<\/h3>\n<p>The donation system helps offset API costs by allowing users to contribute whatever amount they choose.<\/p>\n<h3>Is Recommendica optimized for SEO?<\/h3>\n<p>Yes, Recommendica features an SEO-optimized noscript crawlable architecture for search engine discovery.<\/p>\n<div class=\"related-articles-box\" style=\"background:#f8fafc;border:1px solid #e2e8f0;border-left:4px solid #0284c7;padding:16px 20px;margin:28px 0;border-radius:6px\">\n<h3 style=\"margin-top:0;color:#0f172a;font-size:1.15rem\">Related Technical Guides &amp; Platform Architecture<\/h3>\n<p style=\"margin-bottom:12px;color:#475569;font-size:0.95rem\">Explore related articles, system benchmarks, and hands-on tutorials across the Nevatal platform:<\/p>\n<ul style=\"margin:0;padding-left:20px;line-height:1.7\">\n<li><a href=\"https:\/\/wordpress.nevatal.id\/2026\/09\/19\/getting-started-recommendica-ai-research-paper-recommendation-agent-2\/\">Getting Started with Recommendica: AI Research Paper Recommendation Agent Tutorial<\/a><\/li>\n<li><a href=\"https:\/\/wordpress.nevatal.id\/2026\/08\/30\/ai-research-paper-recommendation-agent\/\">Recommendica: AI Research Paper Recommendation Agent with Multi-Turn Query Expansion<\/a><\/li>\n<li><a href=\"https:\/\/wordpress.nevatal.id\/2026\/10\/13\/guide-country-sdg-profiles-platform\/\">Comprehensive Guide &amp; Technical Deep-Dive into the Country SDG Profiles Platform<\/a><\/li>\n<\/ul>\n<\/div>\n<h2>Conclusion &amp; Next Steps<\/h2>\n<p>Recommendica is a powerful tool for academic and industry researchers seeking relevant scientific literature. Its multi-turn Relevance Agent, live arXiv fallback, and semantic paper discovery capabilities set it apart from traditional approaches. Explore the live project at <a href=\"https:\/\/recommendica.nevatal.id\">https:\/\/recommendica.nevatal.id<\/a> to experience its benefits firsthand.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recommendica is an AI-powered research paper recommendation platform featuring a multi-turn Relevance Agent, live arXiv fallback, and semantic paper discovery. Learn how it works, its architecture, and real-world applications.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_linkdex":"72","_yoast_wpseo_content_score":"90","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_estimated-reading-time-minutes":"3","_yoast_wpseo_primary_category":"78","footnotes":""},"categories":[78],"tags":[81,14,26,82,84,83,27,80,79],"class_list":["post-1292","post","type-post","status-publish","format-standard","hentry","category-academic-research-ai","tag-arxiv-api","tag-django","tag-fastapi","tag-multi-turn-agent","tag-paddle-payments","tag-query-expansion","tag-react","tag-relevance-agent","tag-research-paper-recommender"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent<\/title>\n<meta name=\"description\" content=\"Discover Recommendica, the AI-powered research paper recommendation agent with multi-turn query expansion, live arXiv fallback, and semantic paper discovery.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent\" \/>\n<meta property=\"og:description\" content=\"Discover Recommendica, the AI-powered research paper recommendation agent with multi-turn query expansion, live arXiv fallback, and semantic paper discovery.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Nevatal\" \/>\n<meta property=\"article:published_time\" content=\"2026-10-28T09:08:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-28T09:45:08+00:00\" \/>\n<meta name=\"author\" content=\"play258\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"play258\" \/>\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:\\\/\\\/wordpress.nevatal.id\\\/2026\\\/10\\\/28\\\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/2026\\\/10\\\/28\\\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\\\/\"},\"author\":{\"name\":\"play258\",\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/#\\\/schema\\\/person\\\/d2821efbaf1c66c1392f012a520ebd73\"},\"headline\":\"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent\",\"datePublished\":\"2026-10-28T09:08:12+00:00\",\"dateModified\":\"2026-10-28T09:45:08+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/2026\\\/10\\\/28\\\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\\\/\"},\"wordCount\":640,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/#\\\/schema\\\/person\\\/d2821efbaf1c66c1392f012a520ebd73\"},\"keywords\":[\"arXiv API\",\"Django\",\"FastAPI\",\"Multi-Turn Agent\",\"Paddle Payments\",\"Query Expansion\",\"React\",\"Relevance Agent\",\"Research Paper Recommender\"],\"articleSection\":[\"Academic Research &amp; AI\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/wordpress.nevatal.id\\\/2026\\\/10\\\/28\\\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/2026\\\/10\\\/28\\\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\\\/\",\"url\":\"https:\\\/\\\/wordpress.nevatal.id\\\/2026\\\/10\\\/28\\\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\\\/\",\"name\":\"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/#website\"},\"datePublished\":\"2026-10-28T09:08:12+00:00\",\"dateModified\":\"2026-10-28T09:45:08+00:00\",\"description\":\"Discover Recommendica, the AI-powered research paper recommendation agent with multi-turn query expansion, live arXiv fallback, and semantic paper discovery.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/2026\\\/10\\\/28\\\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/wordpress.nevatal.id\\\/2026\\\/10\\\/28\\\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/2026\\\/10\\\/28\\\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/wordpress.nevatal.id\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/#website\",\"url\":\"https:\\\/\\\/wordpress.nevatal.id\\\/\",\"name\":\"Nevatal\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/#\\\/schema\\\/person\\\/d2821efbaf1c66c1392f012a520ebd73\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/wordpress.nevatal.id\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/#\\\/schema\\\/person\\\/d2821efbaf1c66c1392f012a520ebd73\",\"name\":\"play258\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/images-1.jpg\",\"url\":\"https:\\\/\\\/wordpress.nevatal.id\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/images-1.jpg\",\"contentUrl\":\"https:\\\/\\\/wordpress.nevatal.id\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/images-1.jpg\",\"width\":190,\"height\":266,\"caption\":\"play258\"},\"logo\":{\"@id\":\"https:\\\/\\\/wordpress.nevatal.id\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/images-1.jpg\"},\"sameAs\":[\"https:\\\/\\\/wordpress.nevatal.id\"],\"url\":\"https:\\\/\\\/wordpress.nevatal.id\\\/author\\\/play258\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent","description":"Discover Recommendica, the AI-powered research paper recommendation agent with multi-turn query expansion, live arXiv fallback, and semantic paper discovery.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/","og_locale":"en_US","og_type":"article","og_title":"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent","og_description":"Discover Recommendica, the AI-powered research paper recommendation agent with multi-turn query expansion, live arXiv fallback, and semantic paper discovery.","og_url":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/","og_site_name":"Nevatal","article_published_time":"2026-10-28T09:08:12+00:00","article_modified_time":"2026-10-28T09:45:08+00:00","author":"play258","twitter_card":"summary_large_image","twitter_misc":{"Written by":"play258","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/#article","isPartOf":{"@id":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/"},"author":{"name":"play258","@id":"https:\/\/wordpress.nevatal.id\/#\/schema\/person\/d2821efbaf1c66c1392f012a520ebd73"},"headline":"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent","datePublished":"2026-10-28T09:08:12+00:00","dateModified":"2026-10-28T09:45:08+00:00","mainEntityOfPage":{"@id":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/"},"wordCount":640,"commentCount":0,"publisher":{"@id":"https:\/\/wordpress.nevatal.id\/#\/schema\/person\/d2821efbaf1c66c1392f012a520ebd73"},"keywords":["arXiv API","Django","FastAPI","Multi-Turn Agent","Paddle Payments","Query Expansion","React","Relevance Agent","Research Paper Recommender"],"articleSection":["Academic Research &amp; AI"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/","url":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/","name":"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent","isPartOf":{"@id":"https:\/\/wordpress.nevatal.id\/#website"},"datePublished":"2026-10-28T09:08:12+00:00","dateModified":"2026-10-28T09:45:08+00:00","description":"Discover Recommendica, the AI-powered research paper recommendation agent with multi-turn query expansion, live arXiv fallback, and semantic paper discovery.","breadcrumb":{"@id":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/wordpress.nevatal.id\/2026\/10\/28\/comprehensive-guide-recommendica-ai-research-paper-recommendation-agent-2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/wordpress.nevatal.id\/"},{"@type":"ListItem","position":2,"name":"Comprehensive Guide to Recommendica: AI Research Paper Recommendation Agent"}]},{"@type":"WebSite","@id":"https:\/\/wordpress.nevatal.id\/#website","url":"https:\/\/wordpress.nevatal.id\/","name":"Nevatal","description":"","publisher":{"@id":"https:\/\/wordpress.nevatal.id\/#\/schema\/person\/d2821efbaf1c66c1392f012a520ebd73"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/wordpress.nevatal.id\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":["Person","Organization"],"@id":"https:\/\/wordpress.nevatal.id\/#\/schema\/person\/d2821efbaf1c66c1392f012a520ebd73","name":"play258","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/wordpress.nevatal.id\/wp-content\/uploads\/2026\/08\/images-1.jpg","url":"https:\/\/wordpress.nevatal.id\/wp-content\/uploads\/2026\/08\/images-1.jpg","contentUrl":"https:\/\/wordpress.nevatal.id\/wp-content\/uploads\/2026\/08\/images-1.jpg","width":190,"height":266,"caption":"play258"},"logo":{"@id":"https:\/\/wordpress.nevatal.id\/wp-content\/uploads\/2026\/08\/images-1.jpg"},"sameAs":["https:\/\/wordpress.nevatal.id"],"url":"https:\/\/wordpress.nevatal.id\/author\/play258\/"}]}},"_links":{"self":[{"href":"https:\/\/wordpress.nevatal.id\/wp-json\/wp\/v2\/posts\/1292","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress.nevatal.id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress.nevatal.id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress.nevatal.id\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.nevatal.id\/wp-json\/wp\/v2\/comments?post=1292"}],"version-history":[{"count":0,"href":"https:\/\/wordpress.nevatal.id\/wp-json\/wp\/v2\/posts\/1292\/revisions"}],"wp:attachment":[{"href":"https:\/\/wordpress.nevatal.id\/wp-json\/wp\/v2\/media?parent=1292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress.nevatal.id\/wp-json\/wp\/v2\/categories?post=1292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress.nevatal.id\/wp-json\/wp\/v2\/tags?post=1292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}