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>",
vector=[0.1, 0.2, 0.3], # Query vector
topk=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
output_fields=None, # Optional: Fields Filter
)
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.
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