Archives/langchain
2
0
Fork 1
mirror of https://github.com/hwchase17/langchain synced 2024-10-29 17:07:25 +00:00
Code Issues Packages Projects Releases Wiki Activity
c81fb88035
langchain/docs/integrations/databerry.md
Leonid Ganeline e2d7677526
docs: compound ecosystem and integrations (#4870) 
# Docs: compound ecosystem and integrations

**Problem statement:** We have a big overlap between the
References/Integrations and Ecosystem/LongChain Ecosystem pages. It
confuses users. It creates a situation when new integration is added
only on one of these pages, which creates even more confusion.
- removed References/Integrations page (but move all its information
into the individual integration pages - in the next PR).
- renamed Ecosystem/LongChain Ecosystem into Integrations/Integrations.
I like the Ecosystem term. It is more generic and semantically richer
than the Integration term. But it mentally overloads users. The
`integration` term is more concrete.
UPDATE: after discussion, the Ecosystem is the term.
Ecosystem/Integrations is the page (in place of Ecosystem/LongChain
Ecosystem).

As a result, a user gets a single place to start with the individual
integration.
2023-05-18 09:29:57 -07:00

761 B
Raw Blame History

Databerry

This page covers how to use the Databerry within LangChain.

What is Databerry?

Databerry is an open source document retrievial platform that helps to connect your personal data with Large Language Models.

Databerry

Quick start

Retrieving documents stored in Databerry from LangChain is very easy!

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?")