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Replace JSON-string embeddings with native pgvector(1536) storage and add PostgreSQL full-text search (tsvector/GIN) with Reciprocal Rank Fusion for hybrid keyword + semantic ranking. Changes: - NoteEmbedding.embedding: String → vector(1536) via pgvector - NoteEmbedding: added updatedAt for reindex tracking - Note: added tsv (tsvector) with auto-update trigger for FTS - semantic-search.service: hybrid FTS + vector search with RRF fusion - embedding.service: toVectorString() for pgvector SQL literals - Removed JS-side cosine similarity loops (now DB-side via <=>) - Added HNSW index on NoteEmbedding.embedding (cosine distance) - Added GIN index on Note.tsv for FTS queries Schema migration in: prisma/migrations/20260512120000_pgvector_and_fts_search/ Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
64 lines
1.5 KiB
TypeScript
64 lines
1.5 KiB
TypeScript
'use server'
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import { semanticSearchService, SearchResult } from '@/lib/ai/services/semantic-search.service'
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export interface SemanticSearchResponse {
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results: SearchResult[]
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query: string
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totalResults: number
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}
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/**
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* Perform hybrid semantic + keyword search
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* Supports contextual search within notebook (IA5)
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*/
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export async function semanticSearch(
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query: string,
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options?: {
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limit?: number
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threshold?: number
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notebookId?: string // NEW: Filter by notebook for contextual search (IA5)
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}
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): Promise<SemanticSearchResponse> {
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try {
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const results = await semanticSearchService.search(query, {
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limit: options?.limit || 20,
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threshold: options?.threshold || 0.3,
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notebookId: options?.notebookId // NEW: Pass notebook filter
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})
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return {
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results,
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query,
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totalResults: results.length
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}
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} catch (error) {
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console.error('Error in semantic search action:', error)
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throw error
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}
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}
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/**
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* Index a note for semantic search (generate embedding)
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*/
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export async function indexNote(noteId: string): Promise<void> {
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try {
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await semanticSearchService.indexNote(noteId)
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} catch (error) {
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console.error('Error indexing note:', error)
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throw error
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}
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}
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/**
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* Batch index notes (for initial setup)
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*/
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export async function batchIndexNotes(noteIds: string[]): Promise<void> {
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try {
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await semanticSearchService.indexBatchNotes(noteIds)
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} catch (error) {
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console.error('Error batch indexing notes:', error)
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throw error
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}
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}
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