4 Commits (3ec6400d70e70339cd0cee79078fa3e674933837)

Author	SHA1	Message	Date
Kacper Łukawski	f93d256190	Feat: Add batching to Qdrant (#5443) ... # Add batching to Qdrant Several people requested a batching mechanism while uploading data to Qdrant. It is important, as there are some limits for the maximum size of the request payload, and without batching implemented in Langchain, users need to implement it on their own. This PR exposes a new optional `batch_size` parameter, so all the documents/texts are loaded in batches of the expected size (64, by default). The integration tests of Qdrant are extended to cover two cases: 1. Documents are sent in separate batches. 2. All the documents are sent in a single request.	1 year ago
Eli	12f868b292	Propagate "filter" arg in Chroma similarity_search (#1869) ... Technically a duplicate fix to #1619 but with unit tests and a small documentation update - Propagate `filter` arg in Chroma `similarity_search` to delegated call to `similarity_search_with_score` - Add `filter` arg to `similarity_search_by_vector` - Clarify doc strings on FakeEmbeddings	2 years ago
Noah Gundotra	8c5fbab72d	[Integration Tests] Cast fake embeddings to ALL float values (#1102) ... Pydantic validation breaks tests for example (`test_qdrant.py`) because fake embeddings contain an integer. This PR casts the embeddings array to all floats. Now the `qdrant` test passes, `poetry run pytest tests/integration_tests/vectorstores/test_qdrant.py`	2 years ago
Harrison Chase	3f48eed5bd	Harrison/milvus (#856) ... Signed-off-by: Filip Haltmayer <filip.haltmayer@zilliz.com> Signed-off-by: Frank Liu <frank.liu@zilliz.com> Co-authored-by: Filip Haltmayer <81822489+filip-halt@users.noreply.github.com> Co-authored-by: Frank Liu <frank@frankzliu.com>	2 years ago