The Chroma Loader returns a set of texts corresponding to embeddings retrieved from a Chroma Index. The user initializes the loader with a Chroma index. They then pass in a query vector.

Usage

Here's an example usage of the ChromaReader.

from llama_index import download_loader

ChromaReader = download_loader("ChromaReader")

# The chroma reader loads data from a persisted Chroma collection.
# This requires a collection name and a persist directory.
reader = ChromaReader(
    collection_name="chroma_collection",
    persist_directory="examples/data_connectors/chroma_collection"
)

query_vector=[n1, n2, n3, ...]

documents = reader.load_data(collection_name="demo", query_vector=query_vector, limit=5)

This loader is designed to be used as a way to load data into LlamaIndex and/or subsequently used as a Tool in a LangChain Agent. See here for examples.