Matteo Rosati
29 lines
671 B
Python
29 lines
671 B
Python
from __future__ import annotations
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from typing import TypedDict
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from chromadb.utils.embedding_functions import DefaultEmbeddingFunction
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class EmbeddingRecord(TypedDict):
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text: str
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embedding: list[float]
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def embed(chunks: list[str]) -> list[EmbeddingRecord]:
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if not chunks:
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return []
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embedding_function = DefaultEmbeddingFunction()
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embeddings = embedding_function(chunks)
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return [
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{
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"text": text,
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"embedding": (
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embedding.tolist() if hasattr(embedding, "tolist") else list(embedding)
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),
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}
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for text, embedding in zip(chunks, embeddings, strict=False)
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]
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