add mode gemma-300M & aver/efficient-splade-VI-BT-large-query
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add model gemma-300M & aver/efficient-splade-VI-BT-large-query
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[UPDATE]: cape njirrr
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[UPDATE]: validate model type, add exception & fix error rank endpoint
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[FIX BUG]: handle string input correctly in EmbedRequest validator
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init
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init
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[FIX Error]: local variable 'texts' referenced before assignment
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init
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[UPDATE]: Input str or List[str]
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check linting
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validate model type
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au ah cape
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[FIX ERROR]: validate model & input
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[TYPO] fix typo
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[UPDATE]: support openai compatible
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[UPDATE]: Change version + add prefix rank endpoint
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init
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[DEBUG]
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[DEBUG]
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init
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[FIX ERROR]: multiple args 'query'
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init
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[FIX TYPO]: fix typo param
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[UPDATE]: add docstring
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[ADD]: rerank model
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[UPDATE]: add configuration model
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[DELETED]: router endpoint cache stats
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[DELETED] embedding cache
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[DELETED]: embedding cache
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typo
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[UPDATE] Response query
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[FIX] Remove unnecessary settings dependency and adjust sparse embedding text assignment
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[FIX] Correct response structure in create_query_embedding to return all embeddings
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init
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[UPDATE] Refactor request and response schemas to include /query endpoint in documentation
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[FIX TYPO] routes to routers
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[UPDATE] Refactoring code, dependencies, routers and exception
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