add_texts

Adds text documents to the vector store with optional metadata.

add_texts(
    texts: Iterable[str],
    metadatas: Optional[List[dict]] = None,
    *,
    ids: Optional[List[str]] = None,
    **kwargs: Any
) -> List[str]

Parameters

Parameter	Type	Description
`texts`	`Iterable[str]`	Iterable of text strings to add
`metadatas`	`Optional[List[dict]]`	(Optional) List of metadata dictionaries for each text
`ids`	`Optional[List[str]]`	(Optional) List of IDs for the texts (auto-generated if not provided)
`**kwargs`	`Any`	Additional keyword arguments (currently unused)

Returns

List[str]: List of IDs for the added texts

Exceptions

ValueError

Throws if length of ids doesn’t match length of texts

Example Usage

# Add texts with auto-generated IDs
texts = ["Document about AI", "Document about ML", "Document about NLP"]
ids = store.add_texts(texts)
print(f"Added {len(ids)} documents")

# Add texts with metadata and custom IDs
texts = ["Python tutorial", "JavaScript guide"]
metadatas = [
    {"language": "python", "level": "beginner"},
    {"language": "javascript", "level": "intermediate"}
]
custom_ids = ["doc1", "doc2"]
ids = store.add_texts(texts, metadatas=metadatas, ids=custom_ids)

get_embeddings

add_documents

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Introduction

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Types

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Example Usage

​Parameters

​Returns

​Exceptions

​Example Usage

Parameters

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Exceptions

Example Usage