langchain/docs/ecosystem/databerry.md
Harrison Chase ad3c5dd186
Harrison/databerry (#2688)
Co-authored-by: Georges Petrov <georgesm.petrov@gmail.com>
2023-04-10 18:49:47 -07:00

26 lines
761 B
Markdown

# Databerry
This page covers how to use the [Databerry](https://databerry.ai) within LangChain.
## What is Databerry?
Databerry is an [open source](https://github.com/gmpetrov/databerry) document retrievial platform that helps to connect your personal data with Large Language Models.
![Databerry](../_static/DataberryDashboard.png)
## Quick start
Retrieving documents stored in Databerry from LangChain is very easy!
```python
from langchain.retrievers import DataberryRetriever
retriever = DataberryRetriever(
datastore_url="https://api.databerry.ai/query/clg1xg2h80000l708dymr0fxc",
# api_key="DATABERRY_API_KEY", # optional if datastore is public
# top_k=10 # optional
)
docs = retriever.get_relevant_documents("What's Databerry?")
```