Chroma
Public exports from @anvia/chroma.
Import from @anvia/chroma.
ChromaVectorStoreConnectOptions
type ChromaVectorStoreConnectOptions = {
client?: ChromaClientLike;
collectionName: string;
createIfMissing?: boolean;
metadata?: Record<string, unknown>;
configuration?: Record<string, unknown>;
};Purpose: connection options for a Chroma collection.
Return behavior: consumed by ChromaVectorStore.connect(...).
Notable errors: missing collections reject when createIfMissing is false.
ChromaVectorStore
class ChromaVectorStore<T, Metadata extends VectorMetadata = VectorMetadata> {
static connect<T, Metadata extends VectorMetadata = VectorMetadata>(
options: ChromaVectorStoreConnectOptions,
): Promise<ChromaVectorStore<T, Metadata>>;
upsertDocuments(documents: Array<EmbeddedDocument<T, Metadata>>): Promise<void>;
index(model: EmbeddingModel): ChromaVectorIndex<T, Metadata>;
}Purpose: Chroma-backed document storage.
Return behavior: connect(...) resolves a store; index(...) binds it to an embedding model.
Notable errors: connection and upsert calls reject on Chroma errors; upsertDocuments(...) throws when a document has no embeddings.
ChromaVectorIndex
class ChromaVectorIndex<T, Metadata extends VectorMetadata = VectorMetadata>
implements VectorStoreIndex<T, Metadata> {
search(request: VectorSearchRequest): Promise<Array<VectorSearchResult<T, Metadata>>>;
searchIds(request: VectorSearchRequest): Promise<Array<{ score: number; id: string }>>;
asTool(options: VectorSearchToolOptions): Tool<{ query: string; topK?: number }, unknown>;
}Purpose: query-time Chroma search adapter.
Return behavior: embeds the query, calls Chroma, deduplicates multi-embedding document IDs, and returns normalized results.
Notable errors: embedding or Chroma query failures reject.
filterToChromaWhere
function filterToChromaWhere(filter: VectorFilter | undefined): unknown;Purpose: convert Anvia vector filters to Chroma where filters.
Return behavior: returns undefined when no filter is supplied.
Notable errors: none directly.
