Metadata-Version: 2.4
Name: llama-index-storage-chat-store-postgres
Version: 0.3.2
Summary: llama-index storage-chat-store postgres integration
Author-email: Your Name <you@example.com>
License-Expression: MIT
License-File: LICENSE
Requires-Python: <4.0,>=3.9
Requires-Dist: asyncpg<0.31,>=0.30.0
Requires-Dist: llama-index-core<0.15,>=0.13.0
Requires-Dist: psycopg<4,>=3.0.0
Description-Content-Type: text/markdown

# 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.

```python
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",
)
```
