Keysat
7 lines
323 B
Python
7 lines
323 B
Python
"""Embedding + vector storage (§4.3).
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Embed DISTILLED PROPOSITIONS (not raw chunks) into a Qdrant HYBRID collection: dense bge-m3
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(via the gateway) + BM25 sparse (client-side), so entity-heavy propositions (MSTR/Strategy/
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Microstrategy) match on the lexical leg too. Retrieval goes through the gateway's /api/search.
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"""
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