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raid-guild · Sep 18, 2024 · 4399343 · 4399343
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diff --git a/architecture/index.html b/architecture/index.html
diff --git a/assets/architecture-BXTo28X5.js → assets/architecture-rgg5NLqz.js b/assets/architecture-BXTo28X5.js → assets/architecture-rgg5NLqz.js
@@ -1,4 +1,4 @@
-import{u as a,j as e}from"./index-BmZJsBfh.js";const s={title:"RAG API Pipeline Architecture Overview",description:"undefined"};function r(i){const n={a:"a",div:"div",h1:"h1",h2:"h2",h3:"h3",header:"header",li:"li",ol:"ol",p:"p",ul:"ul",...a(),...i.components};return e.jsxs(e.Fragment,{children:[e.jsx(n.header,{children:e.jsxs(n.h1,{id:"rag-api-pipeline-architecture-overview",children:["RAG API Pipeline Architecture Overview",e.jsx(n.a,{"aria-hidden":"true",tabIndex:"-1",href:"#rag-api-pipeline-architecture-overview",children:e.jsx(n.div,{"data-autolink-icon":!0})})]})}),`
+import{u as a,j as e}from"./index-BI7hd4Gq.js";const s={title:"RAG API Pipeline Architecture Overview",description:"undefined"};function r(i){const n={a:"a",div:"div",h1:"h1",h2:"h2",h3:"h3",header:"header",li:"li",ol:"ol",p:"p",ul:"ul",...a(),...i.components};return e.jsxs(e.Fragment,{children:[e.jsx(n.header,{children:e.jsxs(n.h1,{id:"rag-api-pipeline-architecture-overview",children:["RAG API Pipeline Architecture Overview",e.jsx(n.a,{"aria-hidden":"true",tabIndex:"-1",href:"#rag-api-pipeline-architecture-overview",children:e.jsx(n.div,{"data-autolink-icon":!0})})]})}),`
 `,e.jsxs(n.h2,{id:"introduction",children:["Introduction",e.jsx(n.a,{"aria-hidden":"true",tabIndex:"-1",href:"#introduction",children:e.jsx(n.div,{"data-autolink-icon":!0})})]}),`
 `,e.jsx(n.p,{children:"This document provides an overview of the RAG (Retrieval-Augmented Generation) API Pipeline architecture. The system is designed to extract, process, and store data from the Boardroom Governance API, creating a knowledge base that can be queried using natural language processing techniques."}),`
 `,e.jsxs(n.h2,{id:"diagram",children:["Diagram",e.jsx(n.a,{"aria-hidden":"true",tabIndex:"-1",href:"#diagram",children:e.jsx(n.div,{"data-autolink-icon":!0})})]}),`

diff --git a/assets/cli-By9t85ut.js → assets/cli-CLlqZRCQ.js b/assets/cli-By9t85ut.js → assets/cli-CLlqZRCQ.js
diff --git a/assets/deployment-CEkNkea6.js → assets/deployment-WsajuzVp.js b/assets/deployment-CEkNkea6.js → assets/deployment-WsajuzVp.js
diff --git a/assets/examples-DaTnY_de.js → assets/examples-Bd5Ah4mi.js b/assets/examples-DaTnY_de.js → assets/examples-Bd5Ah4mi.js
diff --git a/assets/getting-started--uLi9ag9.js → assets/getting-started-DWaqqspk.js b/assets/getting-started--uLi9ag9.js → assets/getting-started-DWaqqspk.js
diff --git a/assets/index-BmZJsBfh.js → assets/index-BI7hd4Gq.js b/assets/index-BmZJsBfh.js → assets/index-BI7hd4Gq.js
diff --git a/assets/index-BhvIaQTk.js → assets/index-y_-j9ylS.js b/assets/index-BhvIaQTk.js → assets/index-y_-j9ylS.js
diff --git a/assets/manifest-definition-CAYGwoZA.js → assets/manifest-definition-BH3sQWFK.js b/assets/manifest-definition-CAYGwoZA.js → assets/manifest-definition-BH3sQWFK.js
diff --git a/assets/other-apis-DSEj_0gD.js → assets/other-apis-BsW5DYUf.js b/assets/other-apis-DSEj_0gD.js → assets/other-apis-BsW5DYUf.js
diff --git a/assets/tech-stack-CjeAah4A.js → assets/tech-stack-aYqGeJhL.js b/assets/tech-stack-CjeAah4A.js → assets/tech-stack-aYqGeJhL.js
@@ -1,4 +1,4 @@
-import{u as s,j as e}from"./index-BmZJsBfh.js";const a={title:"RAG API Pipeline Tech Stack",description:"undefined"};function r(i){const n={a:"a",div:"div",h1:"h1",h2:"h2",h3:"h3",header:"header",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...s(),...i.components};return e.jsxs(e.Fragment,{children:[e.jsx(n.header,{children:e.jsxs(n.h1,{id:"rag-api-pipeline-tech-stack",children:["RAG API Pipeline Tech Stack",e.jsx(n.a,{"aria-hidden":"true",tabIndex:"-1",href:"#rag-api-pipeline-tech-stack",children:e.jsx(n.div,{"data-autolink-icon":!0})})]})}),`
+import{u as s,j as e}from"./index-BI7hd4Gq.js";const a={title:"RAG API Pipeline Tech Stack",description:"undefined"};function r(i){const n={a:"a",div:"div",h1:"h1",h2:"h2",h3:"h3",header:"header",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...s(),...i.components};return e.jsxs(e.Fragment,{children:[e.jsx(n.header,{children:e.jsxs(n.h1,{id:"rag-api-pipeline-tech-stack",children:["RAG API Pipeline Tech Stack",e.jsx(n.a,{"aria-hidden":"true",tabIndex:"-1",href:"#rag-api-pipeline-tech-stack",children:e.jsx(n.div,{"data-autolink-icon":!0})})]})}),`
 `,e.jsxs(n.h2,{id:"overview",children:["Overview",e.jsx(n.a,{"aria-hidden":"true",tabIndex:"-1",href:"#overview",children:e.jsx(n.div,{"data-autolink-icon":!0})})]}),`
 `,e.jsx(n.p,{children:"This page outlines the technologies and tools utilized in the AI pipeline, covering data extraction, caching, processing, and vector search for efficient data flow and feature embedding generation."}),`
 `,e.jsxs(n.h2,{id:"tech-stack",children:["Tech Stack",e.jsx(n.a,{"aria-hidden":"true",tabIndex:"-1",href:"#tech-stack",children:e.jsx(n.div,{"data-autolink-icon":!0})})]}),`

diff --git a/cli/index.html b/cli/index.html
diff --git a/deployment/index.html b/deployment/index.html
diff --git a/examples/index.html b/examples/index.html
diff --git a/getting-started/index.html b/getting-started/index.html