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This PR adds a part of the indexing API proposed in this RFC https://github.com/langchain-ai/langchain/pull/23544/files. It allows rolling out `get_by_ids` which should be uncontroversial to existing vectorstores without introducing new abstractions. The semantics for this method depend on the ability of identifying returned documents using the new optional ID field on documents: https://github.com/langchain-ai/langchain/pull/23411 Alternatives are: 1. Relax the sequence requirement ```python def get_by_ids(self, ids: Iterable[str], /) -> Iterable[Document]: ``` Rejected: - implementations are more likley to start batching with bad defaults - users would need to call list() or we'd need to introduce another convenience method 2. Support more kwargs ```python def get_by_ids(self, ids: Sequence[str], /, **kwargs) -> List[Document]: ... ``` Rejected: - No need for `batch` parameter since IDs is a sequence - Output cannot be customized since `Document` is fixed. (e.g., parameters could be useful to grab extra metadata like the vector that was indexed with the Document or to project a part of the document) |
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| .. | ||
| _api | ||
| beta | ||
| callbacks | ||
| document_loaders | ||
| documents | ||
| embeddings | ||
| example_selectors | ||
| indexing | ||
| language_models | ||
| load | ||
| messages | ||
| output_parsers | ||
| outputs | ||
| prompts | ||
| pydantic_v1 | ||
| runnables | ||
| tracers | ||
| utils | ||
| __init__.py | ||
| agents.py | ||
| caches.py | ||
| chat_history.py | ||
| chat_loaders.py | ||
| chat_sessions.py | ||
| env.py | ||
| exceptions.py | ||
| globals.py | ||
| memory.py | ||
| prompt_values.py | ||
| py.typed | ||
| retrievers.py | ||
| stores.py | ||
| structured_query.py | ||
| sys_info.py | ||
| tools.py | ||
| vectorstores.py | ||