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feat: release v0.2.2 — TCVDB backend, BM25 hybrid retrieval, pipeline refactor

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chrishuan
2026-05-13 01:23:05 +08:00
parent 5bf5f890a3
commit a74b0b3e43
45 changed files with 8247 additions and 756 deletions
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src/tools/conversation-search.ts
+5 -5
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@@ -10,8 +10,8 @@
* The tool is registered via `api.registerTool()` in index.ts.
*/
import type { VectorStore, L0VectorSearchResult } from "../store/vector-store.js";
import { buildFtsQuery } from "../store/vector-store.js";
import type { IMemoryStore, L0SearchResult } from "../store/types.js";
import { buildFtsQuery } from "../store/sqlite.js";
import type { EmbeddingService } from "../store/embedding.js";
// ============================
@@ -90,7 +90,7 @@ export async function executeConversationSearch(params: {
query: string;
limit: number;
sessionKey?: string;
vectorStore?: VectorStore;
vectorStore?: IMemoryStore;
embeddingService?: EmbeddingService;
logger?: Logger;
}): Promise<ConversationSearchResult> {
@@ -152,7 +152,7 @@ export async function executeConversationSearch(params: {
return [];
}
logger?.debug?.(`${TAG} [hybrid-fts] FTS5 query: "${ftsQuery}"`);
const ftsResults = vectorStore.ftsSearchL0(ftsQuery, candidateK);
const ftsResults = await vectorStore.searchL0Fts(ftsQuery, candidateK);
logger?.debug?.(`${TAG} [hybrid-fts] FTS5 returned ${ftsResults.length} candidates`);
return ftsResults.map((r) => ({
id: r.record_id,
@@ -179,7 +179,7 @@ export async function executeConversationSearch(params: {
logger?.debug?.(
`${TAG} [hybrid-vec] Embedding OK, dims=${queryEmbedding.length}, searching top-${candidateK}...`,
);
const vecResults: L0VectorSearchResult[] = vectorStore.searchL0(queryEmbedding, candidateK);
const vecResults: L0SearchResult[] = await vectorStore.searchL0Vector(queryEmbedding, candidateK, query);
logger?.debug?.(`${TAG} [hybrid-vec] Vector search returned ${vecResults.length} candidates`);
return vecResults.map((r) => ({
id: r.record_id,