llama-index storage-chat-store postgres integration
Project description
LlamaIndex Chat_Store Integration: Postgres Chat Store
Installation
pip install llama-index-storage-chat-store-postgres
Usage
Using PostgresChatStore, 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.postgres import PostgresChatStore
from llama_index.core.memory import ChatMemoryBuffer
chat_store = PostgresChatStore.from_uri(
uri="postgresql+asyncpg://postgres:password@127.0.0.1:5432/database",
)
chat_memory = ChatMemoryBuffer.from_defaults(
token_limit=3000,
chat_store=chat_store,
chat_store_key="user1",
)
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