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Collection Objects

class Collection(BaseModel)

count​

def count() -> int

The total number of embeddings added to the database

Returns:

  • int - The total number of embeddings added to the database

add​

def add(ids: OneOrMany[ID],
        embeddings: Optional[OneOrMany[Embedding]] = None,
        metadatas: Optional[OneOrMany[Metadata]] = None,
        documents: Optional[OneOrMany[Document]] = None) -> None

Add embeddings to the data store.

Arguments:

  • ids - The ids of the embeddings you wish to add
  • embeddings - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional.
  • metadatas - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional.
  • documents - The documents to associate with the embeddings. Optional.

Returns:

None

Raises:

  • ValueError - If you don't provide either embeddings or documents
  • ValueError - If the length of ids, embeddings, metadatas, or documents don't match
  • ValueError - If you don't provide an embedding function and don't provide embeddings
  • ValueError - If you provide an id that already exists

get​

def get(ids: Optional[OneOrMany[ID]] = None,
        where: Optional[Where] = None,
        limit: Optional[int] = None,
        offset: Optional[int] = None,
        where_document: Optional[WhereDocument] = None,
        include: Include = ["metadatas", "documents"]) -> GetResult

Get embeddings and their associate data from the data store. If no ids or where filter is provided returns all embeddings up to limit starting at offset.

Arguments:

  • ids - The ids of the embeddings to get. Optional.
  • where - A Where type dict used to filter results by. E.g. {"color" : "red", "price": 4.20}. Optional.
  • limit - The number of documents to return. Optional.
  • offset - The offset to start returning results from. Useful for paging results with limit. Optional.
  • where_document - A WhereDocument type dict used to filter by the documents. E.g. {$contains: {"text": "hello"}}. Optional.
  • include - A list of what to include in the results. Can contain "embeddings", "metadatas", "documents". Ids are always included. Defaults to ["metadatas", "documents"]. Optional.

Returns:

  • GetResult - A GetResult object containing the results.

peek​

def peek(limit: int = 10) -> GetResult

Get the first few results in the database up to limit

Arguments:

  • limit - The number of results to return.

Returns:

  • GetResult - A GetResult object containing the results.

query​

def query(
        query_embeddings: Optional[OneOrMany[Embedding]] = None,
        query_texts: Optional[OneOrMany[Document]] = None,
        n_results: int = 10,
        where: Optional[Where] = None,
        where_document: Optional[WhereDocument] = None,
        include: Include = ["metadatas", "documents",
                            "distances"]) -> QueryResult

Get the n_results nearest neighbor embeddings for provided query_embeddings or query_texts.

Arguments:

  • query_embeddings - The embeddings to get the closes neighbors of. Optional.
  • query_texts - The document texts to get the closes neighbors of. Optional.
  • n_results - The number of neighbors to return for each query_embedding or query_texts. Optional.
  • where - A Where type dict used to filter results by. E.g. {"color" : "red", "price": 4.20}. Optional.
  • where_document - A WhereDocument type dict used to filter by the documents. E.g. {$contains: {"text": "hello"}}. Optional.
  • include - A list of what to include in the results. Can contain "embeddings", "metadatas", "documents", "distances". Ids are always included. Defaults to ["metadatas", "documents", "distances"]. Optional.

Returns:

  • QueryResult - A QueryResult object containing the results.

Raises:

  • ValueError - If you don't provide either query_embeddings or query_texts
  • ValueError - If you provide both query_embeddings and query_texts

modify​

def modify(name: Optional[str] = None,
           metadata: Optional[CollectionMetadata] = None) -> None

Modify the collection name or metadata

Arguments:

  • name - The updated name for the collection. Optional.
  • metadata - The updated metadata for the collection. Optional.

Returns:

None

update​

def update(ids: OneOrMany[ID],
           embeddings: Optional[OneOrMany[Embedding]] = None,
           metadatas: Optional[OneOrMany[Metadata]] = None,
           documents: Optional[OneOrMany[Document]] = None) -> None

Update the embeddings, metadatas or documents for provided ids.

Arguments:

  • ids - The ids of the embeddings to update
  • embeddings - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional.
  • metadatas - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional.
  • documents - The documents to associate with the embeddings. Optional.

Returns:

None

upsert​

def upsert(ids: OneOrMany[ID],
           embeddings: Optional[OneOrMany[Embedding]] = None,
           metadatas: Optional[OneOrMany[Metadata]] = None,
           documents: Optional[OneOrMany[Document]] = None) -> None

Update the embeddings, metadatas or documents for provided ids, or create them if they don't exist.

Arguments:

  • ids - The ids of the embeddings to update
  • embeddings - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional.
  • metadatas - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional.
  • documents - The documents to associate with the embeddings. Optional.

Returns:

None

delete​

def delete(ids: Optional[IDs] = None,
           where: Optional[Where] = None,
           where_document: Optional[WhereDocument] = None) -> None

Delete the embeddings based on ids and/or a where filter

Arguments:

  • ids - The ids of the embeddings to delete
  • where - A Where type dict used to filter the delection by. E.g. {"color" : "red", "price": 4.20}. Optional.
  • where_document - A WhereDocument type dict used to filter the deletion by the document content. E.g. {$contains: {"text": "hello"}}. Optional.

Returns:

None