diff --git a/src/commands/doctor.ts b/src/commands/doctor.ts index c9457d318..82641bff3 100644 --- a/src/commands/doctor.ts +++ b/src/commands/doctor.ts @@ -820,6 +820,10 @@ export async function doctorReportRemote(engine: BrainEngine): Promise localCap) { + return { + name, + status: 'warn', + message: + `GBRAIN_EMBED_CONCURRENCY=${parsed} against a local embedding endpoint. ` + + `Local inference servers serialize requests, so ${parsed} parallel pages multiply ` + + `latency x${parsed} and can exceed the fetch timeout — the embed backfill stalls ` + + `with no error. Unset GBRAIN_EMBED_CONCURRENCY (auto-caps at ${localCap}) or set it <= ${localCap}.`, + }; + } + return { + name, + status: 'ok', + message: `Local embedding endpoint detected; embed concurrency capped at ${envValue ? parsed : localCap}.`, + }; +} + +/** Thin gateway/env wrapper over `computeEmbedConcurrencyCheck`. */ +export async function checkEmbedConcurrency(): Promise { + try { + const { isLocalEmbeddingEndpoint, LOCAL_EMBED_CONCURRENCY_CAP } = await import('../core/ai/gateway.ts'); + return computeEmbedConcurrencyCheck( + isLocalEmbeddingEndpoint(), + process.env.GBRAIN_EMBED_CONCURRENCY, + LOCAL_EMBED_CONCURRENCY_CAP, + ); + } catch (err) { + return { + name: 'embed_concurrency', + status: 'ok', + message: `Skipped (${err instanceof Error ? err.message : String(err)})`, + }; + } +} + /** Thin env/engine wrapper over `computePoolBudgetCheck`. */ export async function checkPoolBudget(_engine: BrainEngine): Promise { try { diff --git a/src/commands/embed.ts b/src/commands/embed.ts index 6d8816a6e..2ff9b30b6 100644 --- a/src/commands/embed.ts +++ b/src/commands/embed.ts @@ -1,5 +1,6 @@ import type { BrainEngine } from '../core/engine.ts'; import { embedBatch, currentEmbeddingSignature } from '../core/embedding.ts'; +import { isLocalEmbeddingEndpoint, LOCAL_EMBED_CONCURRENCY_CAP } from '../core/ai/gateway.ts'; import type { ChunkInput } from '../core/types.ts'; import { chunkText } from '../core/chunkers/recursive.ts'; import { createProgress, type ProgressReporter } from '../core/progress.ts'; @@ -176,6 +177,31 @@ export class EmbeddingDimMismatchError extends Error { } } +/** + * #2552: resolve the bulk-embed worker count. Env override or the + * cloud-tuned default of 20 — but when the operator did NOT set + * GBRAIN_EMBED_CONCURRENCY and the embedding endpoint is a local inference + * server (Ollama / llama-server / localhost base URL), cap at + * LOCAL_EMBED_CONCURRENCY_CAP: 20 parallel pages against a single-slot + * server serialize on the one loaded model, multiply latency x20 past the + * fetch timeout, and starve the backfill with no surfaced error. An + * explicit env value always wins (`gbrain doctor` warns instead). + * Pacing only ever LOWERS concurrency (Codex P2). + */ +export function resolveEmbedConcurrency(paceMaxConcurrency?: number): number { + const envSet = !!process.env.GBRAIN_EMBED_CONCURRENCY; + const base = parseInt(process.env.GBRAIN_EMBED_CONCURRENCY || '20', 10); + let resolved = base; + if (!envSet && isLocalEmbeddingEndpoint() && base > LOCAL_EMBED_CONCURRENCY_CAP) { + resolved = LOCAL_EMBED_CONCURRENCY_CAP; + serr( + `[embed] local embedding endpoint detected — capping concurrency at ` + + `${LOCAL_EMBED_CONCURRENCY_CAP} (set GBRAIN_EMBED_CONCURRENCY to override)`, + ); + } + return paceMaxConcurrency ? Math.min(resolved, paceMaxConcurrency) : resolved; +} + /** * Pre-flight check: read the actual schema column dim and compare to the * gateway's resolved dim. Throws `EmbeddingDimMismatchError` on mismatch @@ -677,10 +703,8 @@ async function embedAll( // Paced runs lower this to the resolved cap (the real lever vs pooler-slot // starvation); unpaced keeps the env/default 20. Codex P2: only ever LOWER — // never raise above an operator's existing env cap. - const BASE_CONCURRENCY = parseInt(process.env.GBRAIN_EMBED_CONCURRENCY || '20', 10); - const CONCURRENCY = staleOpts?.paceMaxConcurrency - ? Math.min(BASE_CONCURRENCY, staleOpts.paceMaxConcurrency) - : BASE_CONCURRENCY; + // #2552: local endpoints auto-cap — see resolveEmbedConcurrency. + const CONCURRENCY = resolveEmbedConcurrency(staleOpts?.paceMaxConcurrency); async function embedOnePage(page: typeof pages[number]) { // #1737: bail before doing any work for this page if the run was aborted. @@ -855,10 +879,8 @@ async function embedAllStale( // Paced runs lower concurrency to the resolved cap (E-1: worker count IS the // lever on this single pool, no separate permit). Codex P2: pacing only ever // LOWERS concurrency — never raise above an operator's existing env cap. - const BASE_CONCURRENCY = parseInt(process.env.GBRAIN_EMBED_CONCURRENCY || '20', 10); - const CONCURRENCY = staleOpts?.paceMaxConcurrency - ? Math.min(BASE_CONCURRENCY, staleOpts.paceMaxConcurrency) - : BASE_CONCURRENCY; + // #2552: local endpoints auto-cap — see resolveEmbedConcurrency. + const CONCURRENCY = resolveEmbedConcurrency(staleOpts?.paceMaxConcurrency); const pacer = staleOpts?.pacer ?? createNoopPacer(); // D3 + D3a + D8: wall-clock budget. 30 min default; env override. diff --git a/src/core/ai/gateway.ts b/src/core/ai/gateway.ts index 8a2674484..54d606606 100644 --- a/src/core/ai/gateway.ts +++ b/src/core/ai/gateway.ts @@ -683,6 +683,33 @@ export function getEmbeddingDimensions(): number { return requireConfig().embedding_dimensions ?? DEFAULT_EMBEDDING_DIMENSIONS; } +/** + * #2552: cap for parallel bulk-embed workers against a local inference + * server. A single-slot Ollama/llama-server serializes requests, so the + * cloud-tuned 20-worker fan-out multiplies latency x20 and blows past the + * fetch timeout with no surfaced error (the backfill silently starves). + */ +export const LOCAL_EMBED_CONCURRENCY_CAP = 2; + +/** + * #2552: true when the configured embedding model routes to a local + * inference server — the `ollama` / `llama-server` recipes, or any recipe + * whose base URL was explicitly pointed at localhost. Bulk callers use this + * to pick CPU-safe concurrency defaults; `gbrain doctor` uses it to warn + * about an explicit cloud-sized override. Fail-open: unconfigured or + * unresolvable gateway → false (cloud behavior, the historical default). + */ +export function isLocalEmbeddingEndpoint(): boolean { + try { + const { recipe } = resolveRecipe(getEmbeddingModel()); + if (recipe.id === 'ollama' || recipe.id === 'llama-server') return true; + const base = requireConfig().base_urls?.[recipe.id] ?? ''; + return /\/\/(localhost|127\.0\.0\.1|\[::1\])(:|\/|$)/i.test(base); + } catch { + return false; + } +} + /** * v0.28.11: returns the configured multimodal embedding model when set, * or undefined if the brain falls back to `embedding_model` for multimodal diff --git a/src/core/ai/recipes/ollama.ts b/src/core/ai/recipes/ollama.ts index 361192f3f..2a8534eb4 100644 --- a/src/core/ai/recipes/ollama.ts +++ b/src/core/ai/recipes/ollama.ts @@ -29,9 +29,17 @@ export const ollama: Recipe = { trust_custom_dims: true, // #2271: local models carry varied native dims cost_per_1m_tokens_usd: 0, price_last_verified: '2026-04-20', - // Ollama's batch capacity depends on the locally loaded model + the - // OLLAMA_NUM_PARALLEL config; no static cap to declare. v0.32 (#779). - no_batch_cap: true, + // #2552: Ollama's true batch capacity depends on the locally loaded + // model + OLLAMA_NUM_PARALLEL, but the previous `no_batch_cap: true` + // meant a whole page went out in ONE request — on a CPU-only box that + // multiplies latency past the fetch timeout and the backfill starves + // with no surfaced error. Ollama doesn't return a recognizable + // token-limit error either, so the recursive-halving safety net never + // fires; a conservative static pre-split cap is the only guard. + // 4096 tokens x 2 chars/token ~= 8K chars per request (code-dense + // pages run ~2 chars/token, not the tiktoken-ish 4). + max_batch_tokens: 4096, + chars_per_token: 2, }, }, setup_hint: 'Install Ollama from https://ollama.ai, then `ollama pull nomic-embed-text` and `ollama serve`.', diff --git a/src/core/doctor-categories.ts b/src/core/doctor-categories.ts index e445bfeea..2da5b0212 100644 --- a/src/core/doctor-categories.ts +++ b/src/core/doctor-categories.ts @@ -141,6 +141,7 @@ export const OPS_CHECK_NAMES: ReadonlySet = new Set([ 'pgbouncer_prepare', 'pgvector', 'pool_budget', + 'embed_concurrency', 'progressive_batch_audit_health', 'queue_health', 'reranker_health', diff --git a/src/core/pglite-engine.ts b/src/core/pglite-engine.ts index 54efd0873..89d16cf30 100644 --- a/src/core/pglite-engine.ts +++ b/src/core/pglite-engine.ts @@ -65,6 +65,7 @@ import { EmbeddingColumnNotRegisteredError, } from './search/embedding-column.ts'; import { hasCJK, escapeLikePattern } from './cjk.ts'; +import { normalizeKeywordQuery } from './search/keyword.ts'; type PGLiteDB = PGlite; @@ -1591,7 +1592,11 @@ export class PGLiteEngine implements BrainEngine { } // v0.20.0 Cathedral II Layer 10 C1/C2: language + symbol-kind filters. - const params: unknown[] = [query, innerLimit, limit, offset]; + // Normalize the FTS query so `/` is split into separate words before + // websearch_to_tsquery parses it; Postgres' default parser otherwise + // treats `foo/bar` as a single `file`-alias token that never matches + // indexed text. See normalizeKeywordQuery in ./search/keyword.ts. + const params: unknown[] = [normalizeKeywordQuery(query), innerLimit, limit, offset]; let extraFilter = ''; if (opts?.language) { params.push(opts.language); @@ -1713,7 +1718,11 @@ export class PGLiteEngine implements BrainEngine { // — safe to interpolate into raw SQL. const ftsLang = getFtsLanguage(); - const params: unknown[] = [query, limit, offset]; + // Normalize the FTS query so `/` is split into separate words before + // websearch_to_tsquery parses it; Postgres' default parser otherwise + // treats `foo/bar` as a single `file`-alias token that never matches + // indexed text. See normalizeKeywordQuery in ./search/keyword.ts. + const params: unknown[] = [normalizeKeywordQuery(query), limit, offset]; let extraFilter = ''; if (opts?.type) { params.push(opts.type); @@ -1962,7 +1971,11 @@ export class PGLiteEngine implements BrainEngine { }); } - const params: unknown[] = [query, limit, offset]; + // Normalize the FTS query so `/` is split into separate words before + // websearch_to_tsquery parses it; Postgres' default parser otherwise + // treats `foo/bar` as a single `file`-alias token that never matches + // indexed text. See normalizeKeywordQuery in ./search/keyword.ts. + const params: unknown[] = [normalizeKeywordQuery(query), limit, offset]; let extraFilter = ''; if (opts?.language) { params.push(opts.language); diff --git a/src/core/postgres-engine.ts b/src/core/postgres-engine.ts index b42f2a909..8e97ef6a8 100644 --- a/src/core/postgres-engine.ts +++ b/src/core/postgres-engine.ts @@ -67,6 +67,7 @@ import { resolveBoostMap, resolveHardExcludes } from './search/source-boost.ts'; import { buildSourceFactorCase, buildHardExcludeClause, buildVisibilityClause, buildRecencyComponentSql, buildBestPerPagePoolCte, buildOrFallbackWebsearchQuery } from './search/sql-ranking.ts'; import { DEFAULT_EMBEDDING_MODEL, DEFAULT_EMBEDDING_DIMENSIONS } from './ai/defaults.ts'; import { DELETE_BATCH_SIZE } from './engine-constants.ts'; +import { normalizeKeywordQuery } from './search/keyword.ts'; function escapeSqlStringLiteral(value: string): string { return value.replace(/'/g, "''"); @@ -1691,7 +1692,11 @@ export class PostgresEngine implements BrainEngine { const hardExcludePrefixes = resolveHardExcludes(opts?.exclude_slug_prefixes, opts?.include_slug_prefixes); const hardExcludeClause = buildHardExcludeClause('p.slug', hardExcludePrefixes); - const params: unknown[] = [query]; + // Normalize the FTS query so `/` is split into separate words before + // websearch_to_tsquery parses it; Postgres' default parser otherwise + // treats `foo/bar` as a single `file`-alias token that never matches + // indexed text. See normalizeKeywordQuery in ./search/keyword.ts. + const params: unknown[] = [normalizeKeywordQuery(query)]; let typeClause = ''; if (type) { params.push(type); @@ -1864,7 +1869,11 @@ export class PostgresEngine implements BrainEngine { // — safe to interpolate into raw SQL. const ftsLang = getFtsLanguage(); - const params: unknown[] = [query]; + // Normalize the FTS query so `/` is split into separate words before + // websearch_to_tsquery parses it; Postgres' default parser otherwise + // treats `foo/bar` as a single `file`-alias token that never matches + // indexed text. See normalizeKeywordQuery in ./search/keyword.ts. + const params: unknown[] = [normalizeKeywordQuery(query)]; let typeClause = ''; if (opts?.type) { params.push(opts.type); @@ -2000,7 +2009,11 @@ export class PostgresEngine implements BrainEngine { const hardExcludePrefixes = resolveHardExcludes(opts?.exclude_slug_prefixes, opts?.include_slug_prefixes); const hardExcludeClause = buildHardExcludeClause('p.slug', hardExcludePrefixes); - const params: unknown[] = [query]; + // Normalize the FTS query so `/` is split into separate words before + // websearch_to_tsquery parses it; Postgres' default parser otherwise + // treats `foo/bar` as a single `file`-alias token that never matches + // indexed text. See normalizeKeywordQuery in ./search/keyword.ts. + const params: unknown[] = [normalizeKeywordQuery(query)]; let typeClause = ''; if (type) { params.push(type); diff --git a/src/core/search/keyword.ts b/src/core/search/keyword.ts index 55df210e2..01731ef42 100644 --- a/src/core/search/keyword.ts +++ b/src/core/search/keyword.ts @@ -1,6 +1,20 @@ import type { BrainEngine } from '../engine.ts'; import type { SearchResult, SearchOpts } from '../types.ts'; +// Postgres' default text-search parser classifies `foo/bar` as a single +// `file`-alias token. Under the english config that alias maps to the +// `simple` dictionary, so `websearch_to_tsquery('english', 'foo/bar')` +// produces the single lexeme `'foo/bar'`. That lexeme never matches indexed +// text whose `to_tsvector('english', …)` split on the slash, so any query +// containing `/` silently returns zero FTS hits — e.g. pasting a meeting +// title like `Author1/Author2 - Topic`. Replacing `/` with whitespace breaks +// the file-alias token into ordinary `asciiword`s, which then stem and match +// through the english dictionary the same way a manually-despaced query +// does. The semantic / vector path is unaffected. +export function normalizeKeywordQuery(query: string): string { + return query.replace(/\//g, ' ').replace(/\s+/g, ' ').trim(); +} + export async function keywordSearch( engine: BrainEngine, query: string, diff --git a/test/ai/no-batch-cap-suppression.serial.test.ts b/test/ai/no-batch-cap-suppression.serial.test.ts index 1241b3b5a..97e3cc084 100644 --- a/test/ai/no-batch-cap-suppression.serial.test.ts +++ b/test/ai/no-batch-cap-suppression.serial.test.ts @@ -28,8 +28,8 @@ describe('v0.32 #779: no_batch_cap suppresses the missing-max_batch_tokens warni resetGateway(); }); - test('Ollama, LiteLLM, llama-server all declare no_batch_cap: true', () => { - for (const id of ['ollama', 'litellm', 'llama-server']) { + test('LiteLLM and llama-server declare no_batch_cap: true', () => { + for (const id of ['litellm', 'llama-server']) { const r = getRecipe(id); expect(r, `${id} not registered`).toBeDefined(); expect( @@ -39,6 +39,18 @@ describe('v0.32 #779: no_batch_cap suppresses the missing-max_batch_tokens warni } }); + test('#2552: Ollama declares a conservative static batch cap, not no_batch_cap', () => { + // A CPU-only Ollama box wedges when a whole page ships in one request; + // Ollama never returns a token-limit error so the recursive-halving + // safety net can't fire. The pre-split cap is the only guard. + const r = getRecipe('ollama'); + expect(r).toBeDefined(); + const e = r!.touchpoints.embedding!; + expect(e.no_batch_cap).toBeUndefined(); + expect(e.max_batch_tokens).toBe(4096); + expect(e.chars_per_token).toBe(2); + }); + test('configureGateway does NOT warn for ollama/litellm/llama-server', () => { warnSpy.mockClear(); resetGateway(); diff --git a/test/embed-local-endpoint.serial.test.ts b/test/embed-local-endpoint.serial.test.ts new file mode 100644 index 000000000..d4bac3049 --- /dev/null +++ b/test/embed-local-endpoint.serial.test.ts @@ -0,0 +1,118 @@ +/** + * #2552: cloud-tuned embedding defaults silently wedge CPU-only local + * endpoints (Ollama). Three-part fix under test: + * + * 1. `isLocalEmbeddingEndpoint()` — gateway helper detecting local + * inference servers (ollama / llama-server recipes, localhost base URL). + * 2. `resolveEmbedConcurrency()` — embed auto-caps the 20-worker fan-out + * at LOCAL_EMBED_CONCURRENCY_CAP for local endpoints unless the + * operator set GBRAIN_EMBED_CONCURRENCY explicitly. + * 3. `computeEmbedConcurrencyCheck()` — doctor warns when an explicit env + * override fans out against a local endpoint. + * + * Serial: mutates process.env and the module-global gateway config. + */ + +import { afterAll, afterEach, describe, expect, test } from 'bun:test'; +import { + configureGateway, + resetGateway, + isLocalEmbeddingEndpoint, + LOCAL_EMBED_CONCURRENCY_CAP, +} from '../src/core/ai/gateway.ts'; +import { resolveEmbedConcurrency } from '../src/commands/embed.ts'; +import { computeEmbedConcurrencyCheck } from '../src/commands/doctor.ts'; + +const SAVED_ENV = process.env.GBRAIN_EMBED_CONCURRENCY; + +afterEach(() => { + resetGateway(); + if (SAVED_ENV === undefined) delete process.env.GBRAIN_EMBED_CONCURRENCY; + else process.env.GBRAIN_EMBED_CONCURRENCY = SAVED_ENV; +}); + +afterAll(() => { + resetGateway(); +}); + +describe('#2552 isLocalEmbeddingEndpoint', () => { + test('false when the gateway is not configured (fail-open to cloud behavior)', () => { + resetGateway(); + expect(isLocalEmbeddingEndpoint()).toBe(false); + }); + + test('true for the ollama recipe', () => { + configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} }); + expect(isLocalEmbeddingEndpoint()).toBe(true); + }); + + test('true for the llama-server recipe', () => { + configureGateway({ embedding_model: 'llama-server:my-gguf', env: {} }); + expect(isLocalEmbeddingEndpoint()).toBe(true); + }); + + test('false for a cloud recipe', () => { + configureGateway({ + embedding_model: 'openai:text-embedding-3-small', + env: { OPENAI_API_KEY: 'fake' }, + }); + expect(isLocalEmbeddingEndpoint()).toBe(false); + }); + + test('true when a cloud recipe base URL is explicitly pointed at localhost', () => { + configureGateway({ + embedding_model: 'openai:text-embedding-3-small', + env: { OPENAI_API_KEY: 'fake' }, + base_urls: { openai: 'http://localhost:8080/v1' }, + }); + expect(isLocalEmbeddingEndpoint()).toBe(true); + }); +}); + +describe('#2552 resolveEmbedConcurrency', () => { + test('caps at LOCAL_EMBED_CONCURRENCY_CAP for a local endpoint when env is unset', () => { + delete process.env.GBRAIN_EMBED_CONCURRENCY; + configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} }); + expect(resolveEmbedConcurrency()).toBe(LOCAL_EMBED_CONCURRENCY_CAP); + }); + + test('explicit env override always wins, even against a local endpoint', () => { + process.env.GBRAIN_EMBED_CONCURRENCY = '10'; + configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} }); + expect(resolveEmbedConcurrency()).toBe(10); + }); + + test('cloud endpoints keep the historical default of 20', () => { + delete process.env.GBRAIN_EMBED_CONCURRENCY; + configureGateway({ env: { OPENAI_API_KEY: 'fake' } }); + expect(resolveEmbedConcurrency()).toBe(20); + }); + + test('pacing only ever lowers concurrency', () => { + delete process.env.GBRAIN_EMBED_CONCURRENCY; + configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} }); + expect(resolveEmbedConcurrency(1)).toBe(1); + expect(resolveEmbedConcurrency(16)).toBe(LOCAL_EMBED_CONCURRENCY_CAP); + }); +}); + +describe('#2552 computeEmbedConcurrencyCheck (doctor)', () => { + test('ok for non-local endpoints', () => { + expect(computeEmbedConcurrencyCheck(false, '20', 2).status).toBe('ok'); + }); + + test('warn when an explicit override exceeds the local cap', () => { + const check = computeEmbedConcurrencyCheck(true, '20', 2); + expect(check.status).toBe('warn'); + expect(check.message).toContain('GBRAIN_EMBED_CONCURRENCY=20'); + }); + + test('ok when env is unset against a local endpoint (auto-cap applies)', () => { + expect(computeEmbedConcurrencyCheck(true, undefined, 2).status).toBe('ok'); + }); + + test('ok when the override is at or under the cap', () => { + expect(computeEmbedConcurrencyCheck(true, '2', 2).status).toBe('ok'); + expect(computeEmbedConcurrencyCheck(true, '1', 2).status).toBe('ok'); + }); +}); diff --git a/test/pglite-engine.test.ts b/test/pglite-engine.test.ts index acba63b16..c01b1444d 100644 --- a/test/pglite-engine.test.ts +++ b/test/pglite-engine.test.ts @@ -216,6 +216,49 @@ describe('PGLiteEngine: Search', () => { expect(results.length).toBe(0); }); + // Regression (#2380): queries containing `/` used to bypass FTS AND + // semantics. Postgres' default text-search parser classifies `foo/bar` as + // a `file`-alias token mapped to the `simple` dictionary, so it became a + // single un-stemmed lexeme `'foo/bar'` that never matches indexed text — + // the primary FTS pass returned 0 and the OR fallback took over, matching + // pages that contain EITHER term. searchKeyword/searchTitles now normalize + // `/` to whitespace before websearch_to_tsquery parses, so the primary + // AND pass matches directly. + test('searchKeyword: slash query matches with AND semantics, not OR fallback', async () => { + // Decoy shares only ONE of the two query terms ('enterprise'). + await engine.putPage('concepts/enterprise-pricing', { + type: 'concept', title: 'Widget Pricing', + compiled_truth: 'Enterprise pricing for widgets.', + }); + await engine.upsertChunks('concepts/enterprise-pricing', [ + { chunk_index: 0, chunk_text: 'Enterprise pricing for widgets', chunk_source: 'compiled_truth' }, + ]); + + // Both terms co-occur only in the novamind chunk. Pre-fix this returned + // BOTH pages (primary pass zero-hit → OR fallback); post-fix the primary + // AND pass returns exactly the co-occurrence page. + const results = await engine.searchKeyword('NovaMind/enterprise'); + expect(results.length).toBe(1); + expect(results[0].slug).toBe('companies/novamind'); + }); + + test('searchTitles: slash query matches with AND semantics, not OR fallback', async () => { + await engine.putPage('companies/novamind-enterprise', { + type: 'company', title: 'NovaMind Enterprise Platform', + compiled_truth: 'Placeholder body.', + }); + await engine.putPage('guides/enterprise-sales', { + type: 'concept', title: 'Enterprise Sales Guide', + compiled_truth: 'Placeholder body.', + }); + + // Pre-fix: `NovaMind/Enterprise` parsed as one file-alias lexeme → the + // primary title pass returned 0 and the OR fallback matched BOTH titles. + const results = await engine.searchTitles('NovaMind/Enterprise'); + expect(results.length).toBe(1); + expect(results[0].slug).toBe('companies/novamind-enterprise'); + }); + test('tsvector trigger populates search_vector on insert', async () => { // Verify the PL/pgSQL trigger fires and content_chunks.search_vector is // populated from chunk_text. v0.20.0 Cathedral II Layer 3 moved FTS from