llama-index-readers-dashvector 0.1.3

llama-index readers dashvector integration

LlamaIndex Readers Integration: Dashvector

Overview

DashVector Reader is a tool designed to retrieve documents from DashVector clusters efficiently.

Installation

You can install DashVector Reader via pip:

pip install llama-index-readers-dashvector

To use DashVector, you must have an API key. Here are the installation instructions

Usage

from llama_index.core.schema import Document
from llama_index.readers.dashvector import DashVectorReader

# Initialize DashVectorReader with the API key and cluster endpoint
reader = DashVectorReader(
    api_key="<Your API Key>", endpoint="<Cluster Endpoint>"
)

# Load data from DashVector
documents = reader.load_data(
    collection_name="<Collection Name>",
    id_to_text_map={"id1": "text1", "id2": "text2"},  # Map from IDs to text
    vector=[0.1, 0.2, 0.3],  # Query vector
    top_k=10,  # Number of results to return
    separate_documents=True,  # Whether to return separate documents
    filter=None,  # Optional: Filter conditions
    include_vector=True,  # Whether to include the embedding in the response
)

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.