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This section provides additional configuration topics that are not covered in the previous sections of the configuration guide.

Configure the knowledge base folder for RAG-based responses using markdown documents.

How To

Embedding Search Providers

Configure embedding search providers for vector similarity search using FastEmbed, OpenAI, or custom implementations.

Reference

265:T18ec,var Component = (() => { var __create = Object.create; var __defProp = Object.defineProperty; var __getOwnPropDesc = Object.getOwnPropertyDescriptor; var __getOwnPropNames = Object.getOwnPropertyNames; var __getProtoOf = Object.getPrototypeOf; var __hasOwnProp = Object.prototype.hasOwnProperty; var __esm = (fn, res, err) => function __init() { if (err) throw err[0]; try { return fn && (res = (0, fn[__getOwnPropNames(fn)[0]])(fn = 0)), res; } catch (e) { throw err = [e], e; } }; var __commonJS = (cb, mod) => function __require() { try { return mod || (0, cb[__getOwnPropNames(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports; } catch (e) { throw mod = 0, e; } }; var __export = (target, all) => { for (var name in all) __defProp(target, name, { get: all[name], enumerable: true }); }; var __copyProps = (to, from, except, desc) => { if (from && typeof from === "object" || typeof from === "function") { for (let key of __getOwnPropNames(from)) if (!__hasOwnProp.call(to, key) && key !== except) __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); } return to; }; var __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps( // If the importer is in node compatibility mode or this is not an ESM // file that has been converted to a CommonJS file using a Babel- // compatible transform (i.e. "__esModule" has not been set), then set // "default" to the CommonJS "module.exports" for node compatibility. isNodeMode || !mod || !mod.__esModule ? __defProp(target, "default", { value: mod, enumerable: true }) : target, mod )); var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod); // var init_define_process_env = __esm({ ""() { } }); // global-externals:react/jsx-runtime var require_jsx_runtime = __commonJS({ "global-externals:react/jsx-runtime"(exports, module) { init_define_process_env(); module.exports = _jsx_runtime; } }); // _mdx_bundler_entry_point-3ff39c57-1edb-4557-8b36-efef742b92c6.mdx var mdx_bundler_entry_point_3ff39c57_1edb_4557_8b36_efef742b92c6_exports = {}; __export(mdx_bundler_entry_point_3ff39c57_1edb_4557_8b36_efef742b92c6_exports, { default: () => MDXContent, frontmatter: () => frontmatter, toc: () => toc }); init_define_process_env(); var import_jsx_runtime = __toESM(require_jsx_runtime()); // global-externals:@mdx-js/react init_define_process_env(); var { useMDXComponents } = MdxJsReact; // _mdx_bundler_entry_point-3ff39c57-1edb-4557-8b36-efef742b92c6.mdx var toc = []; var frontmatter = { "title": "Other Configurations", "sidebar-title": "Other Configurations", "description": "Additional configuration topics including knowledge base setup and embedding search providers.", "keywords": ["nemo guardrails other configurations", "knowledge base", "embedding search", "RAG configuration"], "content": { "type": "reference" } }; function _createMdxContent(props) { const _components = { p: "p", ...useMDXComponents(), ...props.components }, { Badge, Card, CardGroup, ErrorBoundary } = _components; if (!Badge) _missingMdxReference("Badge", true); if (!Card) _missingMdxReference("Card", true); if (!CardGroup) _missingMdxReference("CardGroup", true); if (!ErrorBoundary) _missingMdxReference("ErrorBoundary", true); return (0, import_jsx_runtime.jsxs)(import_jsx_runtime.Fragment, { children: [(0, import_jsx_runtime.jsx)(_components.p, { children: "This section provides additional configuration topics that are not covered in the previous sections of the configuration guide." }), "\n", (0, import_jsx_runtime.jsx)(ErrorBoundary, { children: (0, import_jsx_runtime.jsxs)(CardGroup, { children: [(0, import_jsx_runtime.jsx)(ErrorBoundary, { children: (0, import_jsx_runtime.jsxs)(Card, { title: "Knowledge Base", href: "/nemo/guardrails/v0.23.0/configure-guardrails/other-configurations/knowledge-base", children: [(0, import_jsx_runtime.jsx)(_components.p, { children: "Configure the knowledge base folder for RAG-based responses using markdown documents." }), (0, import_jsx_runtime.jsx)(ErrorBoundary, { children: (0, import_jsx_runtime.jsx)(Badge, { intent: "tip", minimal: true, outlined: true, children: "How To" }) })] }) }), (0, import_jsx_runtime.jsx)(ErrorBoundary, { children: (0, import_jsx_runtime.jsxs)(Card, { title: "Embedding Search Providers", href: "/nemo/guardrails/v0.23.0/configure-guardrails/other-configurations/embedding-search-providers", children: [(0, import_jsx_runtime.jsx)(_components.p, { children: "Configure embedding search providers for vector similarity search using FastEmbed, OpenAI, or custom implementations." }), (0, import_jsx_runtime.jsx)(ErrorBoundary, { children: (0, import_jsx_runtime.jsx)(Badge, { intent: "tip", minimal: true, outlined: true, children: "Reference" }) })] }) })] }) })] }); } function MDXContent(props = {}) { const { wrapper: MDXLayout } = { ...useMDXComponents(), ...props.components }; return MDXLayout ? (0, import_jsx_runtime.jsx)(MDXLayout, { ...props, children: (0, import_jsx_runtime.jsx)(_createMdxContent, { ...props }) }) : _createMdxContent(props); } function _missingMdxReference(id, component) { throw new Error("Expected " + (component ? "component" : "object") + " `" + id + "` to be defined: you likely forgot to import, pass, or provide it."); } return __toCommonJS(mdx_bundler_entry_point_3ff39c57_1edb_4557_8b36_efef742b92c6_exports); })(); ;return Component;25f:["$","div",null,{"ref":"$undefined","className":"fern-prose prose break-words prose-h1:mt-[1.5em] first:prose-h1:mt-0 max-w-full","children":["$","$L50",null,{"children":["$","$L263",null,{"html":"$264","mdx":{"code":"$265","jsxElements":["ErrorBoundary","CardGroup","Card","Badge"],"scope":"$undefined"},"engine":"esbuild","fallback":"$L266","deferred":"$undefined"}]}]}] 260:["$","div",null,{"className":"grow"}] 261:["$","footer",null,{"className":"fern-layout-footer not-prose","children":[["$","div",null,{"className":"fern-layout-footer-toolbar","children":[["$","div",null,{"children":false}],"$undefined"]}],null,["$","$L267",null,{"prev":{"title":["$","$32",null,{"fallback":"Extract User-provided Values","children":"$L268"}],"titleText":"Extract User-provided Values","excerpt":["$","$32",null,{"fallback":"$undefined","children":"$L269"}],"href":"/nemo/guardrails/v0.23.0/configure-guardrails/colang/usage-examples/extract-user-provided-values"},"next":{"title":["$","$32",null,{"fallback":"Knowledge Base Configuration","children":"$L26a"}],"titleText":"Knowledge Base Configuration","excerpt":["$","$32",null,{"fallback":"$undefined","children":"$L26b"}],"href":"/nemo/guardrails/v0.23.0/configure-guardrails/other-configurations/knowledge-base"},"lang":"en","footerNavStyle":"minimal"}],["$","$L26c",null,{"className":"mx-auto mt-12 w-fit","lang":"en"}],"$L26d"]}] 26e:T423,--- title: Other Configurations sidebar-title: Other Configurations description: >- Additional configuration topics including knowledge base setup and embedding search providers. keywords: * nemo guardrails other configurations * knowledge base * embedding search * RAG configuration content: type: reference --- This section provides additional configuration topics that are not covered in the previous sections of the configuration guide. Configure the knowledge base folder for RAG-based responses using markdown documents. How To Configure embedding search providers for vector similarity search using FastEmbed, OpenAI, or custom implementations. Reference 257:{"content":"$26e","contentType":"mdx"} 255:"Other Configurations"