Open curquiza opened 9 months ago
Since v1.7.0
OpenAI models now accepts dimensions
field. The implementation should reflect this
Since v1.8.0
distribution
Check changelogs for details
Since v1.9.0
_vectors
no longer returned in documents (by default). Use retrieveVectors
during the search to see it -> this library should accept the retrieveVectors
search parameter at searchSince v1.10.0
Usage: https://meilisearch.notion.site/v1-10-AI-search-changes-737c9d7d010d4dd685582bf5dab579e2?pvs=74
query
, inputField
, inputType
, pathToEmbeddings
and embeddingObject
.request
and response
headers
url
parameter to the OpenAI embedderdimensions
is now available as an optional parameter for ollama
embedders.
Hello dear community
This library currently handles an experimental feature present in Meilisearch (the engine) since v1.3.0: the vector search.
v1.6.0 of Meilisearch is released on 15/01/2024, and this new version introduces additions to vector search, but also changes related to these experimental features.
This means we need to update the repository code base according to the new changes.
Unfortunately, the internal Meili team cannot afford to spend time implementing the changes, which is why we opened this issue to the community.
If this issue is not implemented before 15/01/2024, don’t worry 😊 We will do a clear communication saying the library cannot work with the experimental v1.6.0 vector search for the moment until someone takes it! Of course, even if we don’t implement it, users will still be able to use all the introduced stable features.
So no pressure on the community, just to let you know and be transparent with our choices.
Thank you in advance for your help ❤️
👇 Below you will find what we expect to be done to make the library up-to-date with the vector search feature in Meilisearch v1.6.0
Refer to the changelogs to have a global view of the changes: https://github.com/meilisearch/meilisearch/releases/tag/v1.6.0
Additions
embedders
setting when calling the/indexes/:index_uid/settings
route (GET/PATCH), so the methods to get and update global settings of an indexes should be adapted.GET /indexes/:index_uid/settings/embedders
PATCH /indexes/:index_uid/settings/embedders
DELETE /indexes/:index_uid/settings/embedders
hybrid
. It can take two fields:semanticRatio
andembedder
.Changes
Usage changes introduced in v1.6.0 should not impact the code base of the library. Let me know on the issue if we are wrong.
search_test.dart
following https://github.com/meilisearch/meilisearch-dart/pull/368 and make it work with the new behaviorMore instructions
👉 If you want details about how the feature works, refer to this: https://meilisearch.notion.site/v1-6-Hybrid-Search-Embedders-ea42c82f90cc4bc0be1eeb917c1118c8