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",
)
1 maintainer
Metadata
1 maintainer
Release files for llama-index-storage-chat-store-postgres 0.5.0
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| llama_index_storage_chat_store_postgres-0.5.0.tar.gz | 6.3 kB | Without provenance | Details for llama_index_storage_chat_store_postgres-0.5.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llama_index_storage_chat_store_postgres-0.5.0-py3-none-any.whl | Python 3 | none | any | Details for llama_index_storage_chat_store_postgres-0.5.0-py3-none-any.whl |
Total release size: 12.3 kB
Release files / llama_index_storage_chat_store_postgres-0.5.0.tar.gz
| Download URL | llama_index_storage_chat_store_postgres-0.5.0.tar.gz |
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| Size | 6.3 kB |
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Release files / llama_index_storage_chat_store_postgres-0.5.0-py3-none-any.whl
| Download URL | llama_index_storage_chat_store_postgres-0.5.0-py3-none-any.whl |
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| Size | 6.0 kB |
| Tags | Python 3 |
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