diff --git a/components/search-dialog.tsx b/components/search-dialog.tsx
index c5a3ef07f..4b57cd89e 100644
--- a/components/search-dialog.tsx
+++ b/components/search-dialog.tsx
@@ -22,9 +22,10 @@ import {
  *
  * The per-locale Orama indexes are built at build time by
  * app/api/search/[lang]/route.ts; this component downloads only the current
- * reader's language (via `from`) and runs every query client-side. It mirrors
- * fumadocs' DefaultSearchDialog layout (so the UX is unchanged) but swaps the
- * fetch client for the static Orama client with a locale-aware `initOrama`.
+ * reader's language and runs every query client-side. It mirrors fumadocs'
+ * DefaultSearchDialog layout (so the UX is unchanged) but swaps the fetch client
+ * for a static one with a locale-aware `initOrama` and page-level ranking
+ * (lib/search-client.ts, lib/search-ranking.ts).
  *
  * `initOrama` must reproduce the SAME tokenizer the route used to build each
  * locale's index, otherwise the query is tokenized differently from the stored
@@ -36,10 +37,9 @@ import {
 export default function StaticSearchDialog(props: SharedProps) {
   const { locale } = useI18n()
   const lang = locale ?? i18n.defaultLanguage
-  // Created inline (like fumadocs' DefaultSearchDialog); useDocsSearch tracks
-  // re-queries via the client's `deps` ([tag, locale]), and the downloaded index
-  // is cached module-side keyed by URL, so this stays cheap across renders.
-  // `from` is the per-locale endpoint so we only download this reader's language.
+  // Created inline (like fumadocs' DefaultSearchDialog); useDocsSearch re-queries
+  // when the client's `deps` ([locale]) change, and the downloaded index is
+  // cached module-side per locale, so this stays cheap across renders.
   const client = createDocsSearchClient(lang)
   const { search, setSearch, query } = useDocsSearch({ client })
 
diff --git a/lib/search-client.ts b/lib/search-client.ts
index 0cd6d26cf..78f110745 100644
--- a/lib/search-client.ts
+++ b/lib/search-client.ts
@@ -1,6 +1,7 @@
-import { create, type AnyOrama } from '@orama/orama'
-import { oramaStaticClient } from 'fumadocs-core/search/client/orama-static'
+import { create, load, type AnyOrama } from '@orama/orama'
+import type { SearchClient } from 'fumadocs-core/search/client'
 import { SEARCH_LANGUAGE_BY_LOCALE } from '@/lib/search-languages'
+import { searchRanked } from '@/lib/search-ranking'
 
 /**
  * Build the same locale-specific tokenizer used by the static search route.
@@ -37,10 +38,39 @@ export async function initOrama(locale?: string): Promise<AnyOrama> {
   })
 }
 
-export function createDocsSearchClient(locale: string) {
-  return oramaStaticClient({
-    from: `/api/search/${encodeURIComponent(locale)}`,
-    initOrama,
-    locale,
-  })
+// One download per locale per page load, shared by every client. A failed
+// download is evicted so the next query can retry.
+const dbCache = new Map<string, Promise<AnyOrama | undefined>>()
+
+function getLocaleDB(locale: string): Promise<AnyOrama | undefined> {
+  let cached = dbCache.get(locale)
+  if (!cached) {
+    cached = (async () => {
+      const res = await fetch(`/api/search/${encodeURIComponent(locale)}`)
+      if (!res.ok) throw new Error(`failed to fetch search index for "${locale}": ${res.status}`)
+      const exported = (await res.json()) as { data: Record<string, unknown> }
+      const data = exported.data[locale]
+      if (!data) return undefined
+      const db = await initOrama(locale)
+      load(db, data as Parameters<typeof load>[1])
+      return db
+    })()
+    cached.catch(() => dbCache.delete(locale))
+    dbCache.set(locale, cached)
+  }
+  return cached
+}
+
+/**
+ * Static search over the per-locale index, ranked by page (see
+ * lib/search-ranking.ts) instead of fumadocs' per-fragment ordering.
+ */
+export function createDocsSearchClient(locale: string): SearchClient {
+  return {
+    deps: [locale],
+    async search(query) {
+      const db = await getLocaleDB(locale)
+      return db ? searchRanked(db, query) : []
+    },
+  }
 }
diff --git a/lib/search-ranking.test.ts b/lib/search-ranking.test.ts
new file mode 100644
index 000000000..d4a0ed8ca
--- /dev/null
+++ b/lib/search-ranking.test.ts
@@ -0,0 +1,118 @@
+import { create, insertMultiple } from '@orama/orama'
+import { describe, expect, it } from 'vitest'
+import { rankPages, scoreTitle, searchRanked } from './search-ranking'
+
+const SCHEMA = {
+  id: 'string',
+  page_id: 'string',
+  type: 'string',
+  content: 'string',
+  url: 'string',
+  breadcrumbs: 'string[]',
+} as const
+
+// Mirrors the shape fumadocs exports for the advanced index: one `page` doc per
+// page (content = title, id = page_id) plus heading/text fragments.
+function page(url: string, title: string, fragments: string[]) {
+  return [
+    { id: url, page_id: url, type: 'page', content: title, url, breadcrumbs: [] },
+    ...fragments.map((content, i) => ({
+      id: `${url}-${i}`,
+      page_id: url,
+      type: 'text',
+      content,
+      url: `${url}#${i}`,
+      breadcrumbs: [],
+    })),
+  ]
+}
+
+async function createDB() {
+  const db = create({ schema: SCHEMA })
+  await insertMultiple(db, [
+    ...page('/docs/remote', 'Overview', [
+      'Development oriented docker compose',
+      'For IaaS we recommend Docker Compose',
+      'Deployment oriented docker compose',
+      'There are two docker compose files',
+      'Why Docker Compose? Docker guide',
+      'deploy-compose includes Nginx, internal to Docker',
+    ]),
+    ...page('/docs/local/docker', 'Docker', ['Install LibreChat with docker compose']),
+    ...page('/docs/remote/docker_linux', 'Docker (Remote Linux)', ['docker.io and docker-ce']),
+    ...page('/docs/configuration/cdn', 'File Storage & CDN', ['Store uploaded files']),
+    ...page('/docs/features/rag_api', 'RAG API', ['Chat with files using the RAG API']),
+  ])
+  return db
+}
+
+const pageUrls = (results: { type: string; url: string }[]) =>
+  results.filter((r) => r.type === 'page').map((r) => r.url)
+
+describe('scoreTitle', () => {
+  it('ranks exact, prefix, and all-terms title matches in that order', () => {
+    expect(scoreTitle('Docker', 'docker')).toBeGreaterThan(scoreTitle('Docker Override', 'docker'))
+    expect(scoreTitle('Docker Override', 'docker')).toBeGreaterThan(
+      scoreTitle('Remote Docker Guide', 'docker'),
+    )
+    expect(scoreTitle('Remote Docker Guide', 'docker')).toBeGreaterThan(
+      scoreTitle('Overview', 'docker'),
+    )
+  })
+
+  it('matches query terms on word prefixes only', () => {
+    expect(scoreTitle('File Storage & CDN', 'rag')).toBe(0)
+    expect(scoreTitle('RAG API', 'rag')).toBeGreaterThan(0)
+  })
+
+  it('falls back to substring matching for CJK titles', () => {
+    expect(scoreTitle('Docker 部署指南', '部署')).toBeGreaterThan(0)
+  })
+})
+
+describe('rankPages', () => {
+  it('never lets body hits lift a weaker title match above a stronger one', () => {
+    const doc = (page_id: string, type: 'page' | 'text', content: string) => ({
+      id: `${page_id}-${content}`,
+      page_id,
+      type,
+      content,
+      url: page_id,
+    })
+    const pages = {
+      '/override': doc('/override', 'page', 'Docker Override'),
+      '/guide': doc('/guide', 'page', 'Remote Docker Guide'),
+    }
+    const hits = [
+      { score: 1, document: doc('/override', 'text', 'docker') },
+      ...Array.from({ length: 10 }, (_, i) => ({
+        score: 100,
+        document: doc('/guide', 'text', `docker ${i}`),
+      })),
+    ]
+    const ranked = rankPages(hits, 'docker', (id) => pages[id as keyof typeof pages])
+    expect(ranked.map((r) => r.page.url)).toEqual(['/override', '/guide'])
+  })
+})
+
+describe('searchRanked', () => {
+  it('puts the page titled with the query above pages that only repeat it in the body', async () => {
+    const results = await searchRanked(await createDB(), 'docker')
+    expect(pageUrls(results).slice(0, 2)).toEqual([
+      '/docs/local/docker',
+      '/docs/remote/docker_linux',
+    ])
+  })
+
+  it('caps fragments per page', async () => {
+    const results = await searchRanked(await createDB(), 'docker', { maxFragmentsPerPage: 2 })
+    const overviewFragments = results.filter(
+      (r) => r.type !== 'page' && r.url.startsWith('/docs/remote#'),
+    )
+    expect(overviewFragments).toHaveLength(2)
+  })
+
+  it('returns nothing for a blank query', async () => {
+    expect(await searchRanked(await createDB(), '   ')).toEqual([])
+  })
+})
diff --git a/lib/search-ranking.ts b/lib/search-ranking.ts
new file mode 100644
index 000000000..586143b2b
--- /dev/null
+++ b/lib/search-ranking.ts
@@ -0,0 +1,174 @@
+import { getByID, search, type AnyOrama } from '@orama/orama'
+import { createContentHighlighter, type SortedResult } from 'fumadocs-core/search'
+
+/**
+ * Page-level ranking for the static (advanced) Orama index.
+ *
+ * fumadocs' built-in `searchAdvanced` scores every heading and paragraph as an
+ * independent document with BM25 and then orders pages by their first hit. Short
+ * paragraphs that repeat a term therefore outrank the page that is actually about
+ * it: searching "docker" put the "Overview" page (seven short paragraphs that
+ * mention docker) above the page titled "Docker". It also shows up to eight
+ * fragments per page, so one page fills the whole dialog.
+ *
+ * Here Orama only finds the candidates; each page is then scored by how well its
+ * title matches the query, with body relevance as the tie-breaker, and keeps a
+ * few fragments only.
+ */
+
+type IndexedDoc = {
+  id: string
+  page_id: string
+  type: SortedResult['type']
+  content: string
+  url: string
+  breadcrumbs?: string[]
+}
+
+export type RankOptions = {
+  /** Pages to return. */
+  maxPages?: number
+  /** Heading/text fragments shown under each page. */
+  maxFragmentsPerPage?: number
+}
+
+const CANDIDATE_LIMIT = 500
+const TYPE_WEIGHT: Record<SortedResult['type'], number> = { page: 1, heading: 1.5, text: 1 }
+const CJK = /[\p{Script=Han}\p{Script=Hiragana}\p{Script=Katakana}\p{Script=Hangul}]/u
+
+function normalize(value: string): string {
+  return value.toLowerCase().replaceAll(/\s+/g, ' ').trim()
+}
+
+function splitWords(value: string): string[] {
+  return normalize(value)
+    .split(/[^\p{L}\p{N}]+/u)
+    .filter(Boolean)
+}
+
+/**
+ * Title relevance: exact title, then a title that starts with the query, then a
+ * title containing every query term as a word prefix ("rag" matches "RAG API",
+ * not "Storage"). CJK titles have no word breaks, so they fall back to substring.
+ */
+export function scoreTitle(title: string, query: string): number {
+  const t = normalize(title)
+  const q = normalize(query)
+  if (!q) return 0
+  if (t === q) return 100
+  if (t.startsWith(q)) return 60
+
+  const terms = splitWords(q)
+  if (terms.length === 0) return 0
+  const words = splitWords(t)
+  const matched = terms.filter((term) =>
+    CJK.test(term) ? t.includes(term) : words.some((word) => word.startsWith(term)),
+  ).length
+  if (matched === terms.length) return 40
+  return 20 * (matched / terms.length)
+}
+
+type Fragment = { doc: IndexedDoc; score: number }
+type PageGroup = { pageId: string; best: number; count: number; fragments: Fragment[] }
+
+export type RankedPage = {
+  page: IndexedDoc
+  titleScore: number
+  bodyScore: number
+  fragments: IndexedDoc[]
+}
+
+/**
+ * Groups Orama hits by page and orders pages by title match first, then by
+ * their best weighted body hit, then by how many fragments matched. The title
+ * tier is compared on its own so body hits can never lift a weaker title match
+ * above a stronger one.
+ */
+export function rankPages(
+  hits: { score: number; document: IndexedDoc }[],
+  query: string,
+  getPage: (pageId: string) => IndexedDoc | undefined,
+  { maxPages = 10, maxFragmentsPerPage = 3 }: RankOptions = {},
+): RankedPage[] {
+  const groups = new Map<string, PageGroup>()
+  let maxScore = 0
+
+  for (const hit of hits) {
+    const doc = hit.document
+    const weighted = hit.score * TYPE_WEIGHT[doc.type]
+    maxScore = Math.max(maxScore, weighted)
+
+    let group = groups.get(doc.page_id)
+    if (!group) {
+      group = { pageId: doc.page_id, best: 0, count: 0, fragments: [] }
+      groups.set(doc.page_id, group)
+    }
+    group.best = Math.max(group.best, weighted)
+    group.count++
+    if (doc.type !== 'page') group.fragments.push({ doc, score: weighted })
+  }
+
+  const ranked: RankedPage[] = []
+  for (const group of groups.values()) {
+    const page = getPage(group.pageId)
+    if (!page) continue
+    const body = maxScore > 0 ? (group.best / maxScore) * 30 : 0
+    const coverage = (Math.min(group.count, 10) / 10) * 10
+    ranked.push({
+      page,
+      titleScore: scoreTitle(page.content, query),
+      bodyScore: body + coverage,
+      fragments: group.fragments
+        .sort((a, b) => b.score - a.score)
+        .slice(0, maxFragmentsPerPage)
+        .map((f) => f.doc),
+    })
+  }
+
+  return ranked
+    .sort((a, b) => b.titleScore - a.titleScore || b.bodyScore - a.bodyScore)
+    .slice(0, maxPages)
+}
+
+/** Runs a query against an exported fumadocs advanced index. */
+export async function searchRanked(
+  db: AnyOrama,
+  query: string,
+  options?: RankOptions,
+): Promise<SortedResult[]> {
+  if (!query.trim()) return []
+
+  const result = await search(db, {
+    term: query,
+    limit: CANDIDATE_LIMIT,
+    properties: ['content'],
+  })
+  const pages = rankPages(
+    result.hits as unknown as { score: number; document: IndexedDoc }[],
+    query,
+    (pageId) => getByID(db, pageId) as IndexedDoc | undefined,
+    options,
+  )
+
+  const highlighter = createContentHighlighter(query)
+  const list: SortedResult[] = []
+  for (const { page, fragments } of pages) {
+    list.push({
+      id: page.id,
+      type: 'page',
+      content: highlighter.highlightMarkdown(page.content),
+      breadcrumbs: page.breadcrumbs,
+      url: page.url,
+    })
+    for (const doc of fragments) {
+      list.push({
+        id: doc.id.toString(),
+        type: doc.type,
+        content: highlighter.highlightMarkdown(doc.content),
+        breadcrumbs: doc.breadcrumbs,
+        url: doc.url,
+      })
+    }
+  }
+  return list
+}
diff --git a/scripts/search-eval.ts b/scripts/search-eval.ts
new file mode 100644
index 000000000..6b9e95285
--- /dev/null
+++ b/scripts/search-eval.ts
@@ -0,0 +1,87 @@
+/**
+ * Search relevance check against a real exported index.
+ *
+ * Usage:
+ *   pnpm tsx scripts/search-eval.ts https://www.librechat.ai/api/search/en
+ *   pnpm tsx scripts/search-eval.ts .next/server/app/api/search/en.body
+ *
+ * Each case lists the pages that must appear in the top 3 results (any one of
+ * them passes). Exits 1 when a case fails, so it can gate ranking changes.
+ */
+import { readFile } from 'node:fs/promises'
+import { create, load } from '@orama/orama'
+import { searchRanked } from '../lib/search-ranking'
+
+const TOP_N = 3
+
+const CASES: { query: string; expect: string[] }[] = [
+  { query: 'docker', expect: ['/docs/local/docker'] },
+  { query: 'docker override', expect: ['/docs/configuration/docker_override'] },
+  { query: 'ollama', expect: ['/docs/configuration/librechat_yaml/ai_endpoints/ollama'] },
+  { query: 'mcp', expect: ['/docs/features/mcp'] },
+  { query: 'rag api', expect: ['/docs/features/rag_api', '/docs/configuration/rag_api'] },
+  { query: 'meilisearch', expect: ['/docs/configuration/meilisearch'] },
+  { query: 'helm', expect: ['/docs/local/helm_chart'] },
+  { query: 'nginx', expect: ['/docs/remote/nginx'] },
+  { query: 'ldap', expect: ['/docs/configuration/authentication/ldap'] },
+  { query: 'keycloak', expect: ['/docs/configuration/authentication/OAuth2-OIDC/keycloak'] },
+  { query: 'azure openai', expect: ['/docs/configuration/librechat_yaml/ai_endpoints/azure'] },
+  { query: 'bedrock', expect: ['/docs/configuration/pre_configured_ai/bedrock'] },
+  { query: 'redis', expect: ['/docs/configuration/redis'] },
+  { query: 'web search', expect: ['/docs/features/web_search'] },
+  { query: 'memory', expect: ['/docs/features/memory'] },
+  { query: 'agents', expect: ['/docs/features/agents'] },
+  { query: 'code interpreter', expect: ['/docs/features/code_interpreter'] },
+  { query: 'environment variables', expect: ['/docs/configuration/dotenv'] },
+  { query: 'custom endpoints', expect: ['/docs/quick_start/custom_endpoints'] },
+  { query: 'openrouter', expect: ['/docs/configuration/librechat_yaml/ai_endpoints/openrouter'] },
+  {
+    query: 'model specs',
+    expect: ['/docs/configuration/librechat_yaml/object_structure/model_specs'],
+  },
+  { query: 'railway', expect: ['/docs/remote/railway'] },
+  { query: 'mongodb atlas', expect: ['/docs/configuration/mongodb/mongodb_atlas'] },
+  { query: 'artifacts', expect: ['/docs/features/artifacts'] },
+  { query: 'ocr', expect: ['/docs/features/ocr'] },
+]
+
+async function readIndex(source: string): Promise<unknown> {
+  if (/^https?:\/\//.test(source)) {
+    const res = await fetch(source)
+    if (!res.ok) throw new Error(`${source} returned ${res.status}`)
+    return res.json()
+  }
+  return JSON.parse(await readFile(source, 'utf8'))
+}
+
+async function main() {
+  const source = process.argv[2]
+  if (!source) {
+    console.error('usage: tsx scripts/search-eval.ts <index url or file>')
+    process.exit(2)
+  }
+
+  const exported = (await readIndex(source)) as { type: string; data: Record<string, unknown> }
+  const raw = exported.type === 'i18n' ? exported.data.en : exported
+  const db = create({ schema: { _: 'string' }, language: 'english' })
+  load(db, raw as Parameters<typeof load>[1])
+
+  let failed = 0
+  for (const { query, expect } of CASES) {
+    const pages = (await searchRanked(db, query))
+      .filter((r) => r.type === 'page')
+      .slice(0, TOP_N)
+      .map((r) => r.url)
+    const ok = pages.some((url) => expect.includes(url))
+    if (!ok) failed++
+    console.log(`${ok ? 'PASS' : 'FAIL'}  ${query.padEnd(22)} ${pages.join('  ')}`)
+  }
+
+  console.log(`\n${CASES.length - failed}/${CASES.length} passed`)
+  if (failed > 0) process.exit(1)
+}
+
+main().catch((err) => {
+  console.error(err)
+  process.exit(1)
+})