trustgraph/ts/packages/flow/src/query/embeddings/qdrant-doc.ts
elpresidank b6536eca38 init
2026-04-05 22:44:45 -05:00

80 lines
2 KiB
TypeScript

/**
* Qdrant document embeddings query service.
*
* Input: vector, user, collection, limit
* Output: list of { chunkId, score } matches
*
* Python reference: trustgraph-flow/trustgraph/query/doc_embeddings/qdrant/service.py
*/
import { QdrantClient } from "@qdrant/js-client-rest";
export interface QdrantDocQueryConfig {
url?: string;
apiKey?: string;
}
export interface ChunkMatch {
chunkId: string;
score: number;
}
export interface DocEmbeddingsQueryRequest {
vector: number[];
user: string;
collection: string;
limit: number;
}
export class QdrantDocEmbeddingsQuery {
private client: QdrantClient;
constructor(config: QdrantDocQueryConfig = {}) {
const url = config.url ?? process.env.QDRANT_URL ?? "http://localhost:6333";
const apiKey = config.apiKey ?? process.env.QDRANT_API_KEY;
this.client = new QdrantClient({ url, apiKey });
console.log("[QdrantDocQuery] Query service initialized");
}
async query(request: DocEmbeddingsQueryRequest): Promise<ChunkMatch[]> {
const { vector, user, collection, limit } = request;
if (!vector || vector.length === 0) {
return [];
}
const dim = vector.length;
const collectionName = `d_${user}_${collection}_${dim}`;
// Check if collection exists -- return empty if not
const exists = await this.client.collectionExists(collectionName);
if (!exists.exists) {
console.log(
`[QdrantDocQuery] Collection ${collectionName} does not exist, returning empty results`,
);
return [];
}
const searchResult = await this.client.search(collectionName, {
vector,
limit,
with_payload: true,
});
const chunks: ChunkMatch[] = [];
for (const point of searchResult) {
const payload = point.payload as Record<string, unknown> | undefined;
const chunkId = payload?.chunk_id as string | undefined;
if (chunkId) {
chunks.push({
chunkId,
score: point.score,
});
}
}
return chunks;
}
}