[Backport 8.13] VectorStore for GenAI integrations #2540
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* ElasticsearchStore * Update elasticsearch/store/_utilities.py Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co> * rename; depend on client; async only * generate _sync files * add cleanup step for _sync generation * fix formatting * more linting fixes * batch embedding call; infer num_dimensions * revert accidental changes * keep field names only in store; apply metadata mappings in store * fix typos in file names * use `elasticsearch_url` fixture; create conftest.py * export relevant classes * remove Semantic strategy wait for `semantic_text` to land * es_query is sync * async strategies * cleanup old file * add docker-compose service with model deployment * optional dependencies for MMR * only test sync parts * cleanup unasync script * nox: install optional deps * fix tests with requests remembering Transport * fix numpy typing * add user agent default argument * move to `elasticsearch.helpers.vectorstore` * use Protocol over ABC * revert Protocol change because Python 3.7 * address PR feedback: - Strategy suffix - Sphinx docstrings - add user agent to EmbeddingService - raise ConflictError - various cleanup * improve docstring * fix metadata mappings issue * address PR feedback * add error tests for strategies * canonical names, keyword args only * fix sparse vector strategy bug (duplicate `size`) * all wildcard deletes in compose ES --------- Co-authored-by: Quentin Pradet <quentin.pradet@elastic.co> (cherry picked from commit c2b0ca3)
pquentin
approved these changes
May 2, 2024
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Backport c2b0ca3 from #2528.