llama-index-storage-chat-store-postgres


Namellama-index-storage-chat-store-postgres JSON
Version 0.1.0 PyPI version JSON
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home_pageNone
Summaryllama-index storage-chat-store postgres integration
upload_time2024-10-16 22:02:05
maintainerNone
docs_urlNone
authorYour Name
requires_python<4.0,>=3.8.1
licenseMIT
keywords
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            # 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",
)
```

            

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