Search and filters

import { retrieveDocuments } from "@anvia/core/vector-store";
import { vectorFilter } from '@anvia/core/vector-store';
const results = await retrieveDocuments({
    store: store,
    model: embeddings,
    query: 'reset a password',
    topK: 5,
    filter: vectorFilter.and(vectorFilter.eq('tenantId', 'acme'), vectorFilter.gt('revision', 3))
});

filterToChromaWhere maps eq, gt, lt, and, and or to Chroma $eq, $gt, $lt, $and, and $or expressions. Metadata must use values accepted by both Anvia's vector metadata contract and Chroma.

To expose retrieval as an agent tool, build one with createVectorSearchTool() from @anvia/core/vector-store. Filters narrow retrieval; authorize tenant and document access separately.