5 Commits

Author	SHA1	Message	Date
Kacper Łukawski	8bcaca435a	Feature: Qdrant filters supports (#5446) ... # Support Qdrant filters Qdrant has an [extensive filtering system](https://qdrant.tech/documentation/concepts/filtering/) with rich type support. This PR makes it possible to use the filters in Langchain by passing an additional param to both the `similarity_search_with_score` and `similarity_search` methods. ## Who can review? @dev2049 @hwchase17 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	2023-05-31 02:26:16 -07:00
Brendan Mannix	4e56d3119c	update qdrant docs to reflect the proper way to initialize Qdrant() constructor (#4596) ... # update qdrant docs to reflect the proper way to initialize Qdrant() constructor The [Qdrant docs](https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/qdrant.html) still contain an old reference for passing an `embedding_function` into the constructor. This is no longer supported. This PR updates the docs to reflect the proper way to initialize `Qdrant()` Old:  New: 	2023-05-16 17:30:38 -07:00
leo-gan	e510732ad2	docs: improved vectorstore notebooks (#3724) ... - Added links to the vectorstore providers - Added installation code (it is not clear that we have to go to the `LangChan Ecosystem` page to get installation instructions.)	2023-04-28 19:26:50 -07:00
Kacper Łukawski	585f60a5aa	Qdrant update to 1.1.1 & docs polishing (#2388) ... This PR updates Qdrant to 1.1.1 and introduces local mode, so there is no need to spin up the Qdrant server. By that occasion, the Qdrant example notebooks also got updated, covering more cases and answering some commonly asked questions. All the Qdrant's integration tests were switched to local mode, so no Docker container is required to launch them.	2023-04-04 06:48:21 -07:00
Harrison Chase	705431aecc	big docs refactor (#1978) ... Co-authored-by: Ankush Gola <ankush.gola@gmail.com>	2023-03-26 19:49:46 -07:00