llama-index-storage-chat-store-tablestore 0.2.0

llama-index storage-chat-store tablestore integration

LlamaIndex Chat_Store Integration: Tablestore Chat Store

Using TablestoreChatStore, you can store your chat history remotely, without having to worry about manually persisting and loading the chat history.

Installation

pip install llama-index-storage-chat-store-tablestore

Usage

from llama_index.storage.chat_store.tablestore import TablestoreChatStore
from llama_index.core.memory import ChatMemoryBuffer

# 1. create tablestore vector store
chat_store = TablestoreChatStore(
    endpoint="<end_point>",
    instance_name="<instance_name>",
    access_key_id="<access_key_id>",
    access_key_secret="<access_key_secret>",
)
# You need to create a table for the first use
chat_store.create_table_if_not_exist()

chat_memory = ChatMemoryBuffer.from_defaults(
    token_limit=3000,
    chat_store=chat_store,
    chat_store_key="user1",
)