llama-index-storage-chat-store-yugabytedb 0.1.0

llama-index storage-chat-store yugabytedb integration

LlamaIndex Chat_Store Integration: YugabyteDB Chat Store

Prerequisites

Before using this integration, you'll need to have a YugabyteDB instance running. You can set up a local YugabyteDB instance by following the YugaByteDB Quick Start Guide.

Installation

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

Usage

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

from llama_index.storage.chat_store.yugabytedb import YugabyteDBChatStore
from llama_index.core.memory import ChatMemoryBuffer

chat_store = YugabyteDBChatStore.from_uri(
    uri="yugabytedb+psycopg2://yugabyte:password@127.0.0.1:5433/yugabyte?load_balance=true",
)

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

Connection String Parameters

The connection string passed to YugabyteDBChatStore.from_uri() supports various parameters that can be used to configure the connection to your YugabyteDB cluster. You can find a complete list of supported parameters in the YugabyteDB psycopg2 Driver Documentation.

The YugabyteDB specific parameters include:

• load_balance: Enable/disable load balancing (default: false)
• topology_keys: Specify preferred nodes for connection routing
• yb_servers_refresh_interval: Interval (in seconds) to refresh the list of available servers
• fallback_to_topology_keys_only: Whether to only connect to nodes specified in topology_keys
• failed_host_ttl_seconds: Time (in seconds) to wait before trying to connect to failed nodes