Añado un proyecto a la lista

Author: SebiGitHub

assets/css/styles.css

@@ -987,4 +987,5 @@ p{
 /* ===== Paletas thumbs nuevas ===== */
 .project-thumb.thumb-realtime{ --a: rgba(34,211,238,.20);  --b: rgba(196,181,253,.16); }
 .project-thumb.thumb-testing{  --a: rgba(250,204,21,.14);  --b: rgba(148,163,184,.18); }
-.project-thumb.thumb-labs{     --a: rgba(250,204,21,.14);  --b: rgba(196,181,253,.18); }
+.project-thumb.thumb-labs{     --a: rgba(250,204,21,.14);  --b: rgba(196,181,253,.18); }
+.project-thumb.thumb-rag{ --a: rgba(34,197,94,.16); --b: rgba(196,181,253,.18); }

assets/i18n/en.json

@@ -155,6 +155,13 @@
     "p6_solution": "Focused mini-projects: coroutines (dispatchers/cancellation), multimedia (resources/lifecycle), persistence (CRUD).",
     "p6_result": "Evidence: 3 repos with features + screenshots/docs per mini-case.",
 
+    "p7_title": "Knowledge Ops Hub (Local RAG + automation)",
+    "p7_desc": "100% local pipeline to turn PDFs into a searchable RAG knowledge base (answers with citations) and automate ingestion + daily digests with n8n.",
+    "p7_why": "It helped me build a full end-to-end system: ingest → page extraction → embeddings → semantic search → answers with sources, fully local, with a secured API (JWT).",
+    "p7_problem": "When you pile up PDFs (guides, notes, specs), finding reliable answers is slow and hard to trace.",
+    "p7_solution": "Local stack with n8n workflows, Spring Boot API (JWT), Postgres + pgvector, and Ollama for embeddings + RAG returning `sources[]` with page/snippet evidence.",
+    "p7_result": "Evidence: `/ask` returns an answer + cited sources/pages; WF1 ingests PDFs from `inbox/` and WF2 writes daily digests to `outbox/` (docs + Postman collection).",
+
     "p6_cases": [
       {
         "title": "Concurrency without blocking UI (Coroutines)",

assets/i18n/es.json

@@ -155,6 +155,13 @@
     "p6_solution": "Mini-proyectos enfocados: corrutinas (dispatchers/cancelación), multimedia (recursos/ciclo de vida) y persistencia (CRUD).",
     "p6_result": "Evidencia: 3 repos con features + capturas/documentación por mini-caso.",
 
+    "p7_title": "Knowledge Ops Hub (RAG local + automatización)",
+    "p7_desc": "Pipeline 100% local para convertir PDFs en una base de conocimiento consultable con RAG (respuestas con citas) y automatizar ingesta y digests con n8n.",
+    "p7_why": "Me permitió montar un sistema completo end-to-end: ingesta → extracción por páginas → embeddings → búsqueda semántica → respuesta con fuentes, todo en local y con API segura (JWT).",
+    "p7_problem": "Cuando acumulas PDFs (guías, apuntes, specs), encontrar respuestas fiables es lento y poco trazable.",
+    "p7_solution": "Stack local con n8n (workflows de ingesta/digest), Spring Boot API (JWT), Postgres + pgvector y Ollama para embeddings y RAG con `sources[]` por página/snippet.",
+    "p7_result": "Evidencia: endpoint `/ask` devuelve respuesta + fuentes/páginas; WF1 procesa PDFs desde `inbox/` y WF2 genera digests en `outbox/` (docs + colección Postman).",
+
     "p6_cases": [
       {
         "title": "Concurrencia sin bloquear UI (Coroutines)",

assets/js/app.js

@@ -295,6 +295,25 @@ function getProjectItems(proj){
         { label:"Persistence", cls:"t-data" }
       ],
       cases: proj.p6_cases || []
+    },
+    {
+      title: proj.p7_title,
+      desc:  proj.p7_desc,
+      why:   proj.p7_why,
+      problem: proj.p7_problem,
+      solution: proj.p7_solution,
+      result: proj.p7_result,
+      link: "https://github.com/SebiGitHub/knowledge-ops-hub",
+      iconClass: "fa-solid fa-brain",
+      thumbClass: "thumb-rag",
+      tech: [
+        { label:"Spring Boot", cls:"t-java" },
+        { label:"Postgres + pgvector", cls:"t-data" },
+        { label:"Ollama", cls:"t-soft-cur" },
+        { label:"n8n", cls:"t-soft-org" },
+        { label:"Docker", cls:"t-github" },
+        { label:"RAG", cls:"t-soft-cur" }
+      ]
     }
   ];
 }
@@ -386,21 +405,22 @@ function setupProjectsCarousel() {
   const stage = document.getElementById("project-stage");
   if (!prev || !next || !stage) return;
 
+  const getItemsSafe = () => getProjectItems(STATE.dict?.projects);
+
   prev.addEventListener("click", () => {
-    const items = getProjectsList();
-    if (!items.length) return;
+    const items = getItemsSafe();
     PROJECT_INDEX = clampIndex(PROJECT_INDEX - 1, items.length);
     renderProjects();
   });
 
   next.addEventListener("click", () => {
-    const items = getProjectsList();
-    if (!items.length) return;
+    const items = getItemsSafe();
     PROJECT_INDEX = clampIndex(PROJECT_INDEX + 1, items.length);
     renderProjects();
   });
 
   let x0 = null;
+
   stage.addEventListener("touchstart", (e) => {
     x0 = e.touches?.[0]?.clientX ?? null;
   }, { passive: true });
@@ -412,16 +432,15 @@ function setupProjectsCarousel() {
     const dx = x1 - x0;
     if (Math.abs(dx) < 60) return;
 
-    const items = getProjectsList();
-    if (!items.length) return;
-
+    const items = getItemsSafe();
     PROJECT_INDEX = clampIndex(PROJECT_INDEX + (dx < 0 ? 1 : -1), items.length);
     renderProjects();
     x0 = null;
   }, { passive: true });
 }
 
 
+
 /* =========================================================
    CONTACT FORM -> Gmail draft
    ========================================================= */