mirror of
https://github.com/hwchase17/langchain
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ad3c5dd186
Co-authored-by: Georges Petrov <georgesm.petrov@gmail.com>
26 lines
761 B
Markdown
26 lines
761 B
Markdown
# Databerry
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This page covers how to use the [Databerry](https://databerry.ai) within LangChain.
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## What is Databerry?
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Databerry is an [open source](https://github.com/gmpetrov/databerry) document retrievial platform that helps to connect your personal data with Large Language Models.
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![Databerry](../_static/DataberryDashboard.png)
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## Quick start
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Retrieving documents stored in Databerry from LangChain is very easy!
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```python
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from langchain.retrievers import DataberryRetriever
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retriever = DataberryRetriever(
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datastore_url="https://api.databerry.ai/query/clg1xg2h80000l708dymr0fxc",
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# api_key="DATABERRY_API_KEY", # optional if datastore is public
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# top_k=10 # optional
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)
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docs = retriever.get_relevant_documents("What's Databerry?")
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```
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