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))
});

filterToPineconeFilter maps eq, gt, lt, and, and or to Pinecone's $eq, $gt, $lt, $and, and $or structure.

Search is always executed inside the namespace chosen at connection time. Results from several physical embeddings are collapsed to the highest-scoring logical document.

Filterable metadata must conform to Pinecone's accepted value types. Treat namespaces and filters as retrieval controls, not proof that the current user may access a document.