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## Description This pull-request extends the existing vector search strategies of MongoDBAtlasVectorSearch to include Hybrid (Reciprocal Rank Fusion) and Full-text via new Retrievers. There is a small breaking change in the form of the `prefilter` kwarg to search. For this, and because we have now added a great deal of features, including programmatic Index creation/deletion since 0.1.0, we plan to bump the version to 0.2.0. ### Checklist * Unit tests have been extended * formatting has been applied * One mypy error remains which will either go away in CI or be simplified. --------- Signed-off-by: Casey Clements <casey.clements@mongodb.com> Co-authored-by: Erick Friis <erick@langchain.dev>
16 lines
436 B
Python
16 lines
436 B
Python
"""Search Retrievers of various types.
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Use ``MongoDBAtlasVectorSearch.as_retriever(**)``
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to create MongoDB's core Vector Search Retriever.
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"""
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from langchain_mongodb.retrievers.full_text_search import (
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MongoDBAtlasFullTextSearchRetriever,
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)
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from langchain_mongodb.retrievers.hybrid_search import MongoDBAtlasHybridSearchRetriever
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__all__ = [
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"MongoDBAtlasHybridSearchRetriever",
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"MongoDBAtlasFullTextSearchRetriever",
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]
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