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8b85a49d60
* add chroma to llamahub * cr --------- Co-authored-by: Jerry Liu <jerry@robustintelligence.com>
68 lines
1.9 KiB
Python
68 lines
1.9 KiB
Python
"""Chroma Reader."""
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from typing import Any
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from llama_index.readers.base import BaseReader
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from llama_index.readers.schema.base import Document
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class ChromaReader(BaseReader):
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"""Chroma reader.
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Retrieve documents from existing persisted Chroma collections.
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Args:
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collection_name: Name of the peristed collection.
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persist_directory: Directory where the collection is persisted.
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"""
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def __init__(
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self,
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collection_name: str,
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persist_directory: str,
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) -> None:
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"""Initialize with parameters."""
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import_err_msg = (
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"`chromadb` package not found, please run `pip install chromadb`"
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)
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import chromadb # noqa: F401
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from chromadb.config import Settings
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if (collection_name is None) or (persist_directory is None):
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raise ValueError("Please provide a collection name and persist directory.")
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self._client = chromadb.Client(
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Settings(
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chroma_db_impl="duckdb+parquet", persist_directory=persist_directory
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)
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)
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self._collection = self._client.get_collection(collection_name)
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def load_data(
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self,
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query_vector: Any,
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limit: int = 10,
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) -> Any:
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"""Load data from Chroma.
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Args:
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query_vector (Any): Query
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limit (int): Number of results to return.
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Returns:
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List[Document]: A list of documents.
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"""
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results = self._collection.query(query_embeddings=query_vector, n_results=limit)
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documents = []
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for result in zip(results["ids"], results["documents"], results["embeddings"]):
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document = Document(
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doc_id=result[0][0],
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text=result[1][0],
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embedding=result[2][0],
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)
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documents.append(document)
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return documents
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