18 lines
851 B
Python
18 lines
851 B
Python
from typing import List, Dict, Any
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from sqlmodel import select
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# Assuming MemoryRecord is accessible or passed, simulating direct pgvector call
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class RAGTool:
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def __init__(self, async_session_maker):
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self.async_session_maker = async_session_maker
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async def get_embedding(self, query: str) -> List[float]:
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# Simulated embedding logic; in reality, this would call an embedding API
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return [0.1] * 1536
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async def retrieve(self, query: str, limit: int = 5) -> List[Dict[str, Any]]:
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embedding = await self.get_embedding(query)
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# We simulate the retrieve_memory call logic from MemoryRAG here
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# Normally you would inject MemoryRAG or a repository, doing a simplistic return here
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return [{"query": query, "simulated_results": f"Found results for {query} with vector {embedding[:2]}..."}]
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