module nemoguardrails.embeddings.index

---

class IndexItem

IndexItem(text: str, meta: Dict = )

method IndexItem.__init__

__init__(text: str, meta: Dict = <factory>) → None

---

class EmbeddingsIndex

The embeddings index is responsible for computing and searching a set of embeddings.

---

property EmbeddingsIndex.embedding_size

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method EmbeddingsIndex.add_item

add_item(item: nemoguardrails.embeddings.index.IndexItem)

Adds a new item to the index.

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method EmbeddingsIndex.add_items

add_items(items: List[nemoguardrails.embeddings.index.IndexItem])

Adds multiple items to the index.

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method EmbeddingsIndex.build

build()

Build the index, after the items are added.

This is optional, might not be needed for all implementations.

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method EmbeddingsIndex.search

search(
    text: str,
    max_results: int
) → List[nemoguardrails.embeddings.index.IndexItem]

Searches the index for the closes matches to the provided text.

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class EmbeddingModel

The embedding model is responsible for creating the embeddings.

---

method EmbeddingModel.encode

encode(documents: List[str]) → List[List[float]]

Encode the provided documents into embeddings.