From c49c6ac97ad29e117fc26a54e41a32d7e3b3f8c1 Mon Sep 17 00:00:00 2001 From: DanConstantini Date: Sun, 28 May 2023 06:12:53 +0200 Subject: [PATCH] Add Chainlit to deployment options (#5314) # Add Chainlit to deployment options Add [Chainlit](https://github.com/Chainlit/chainlit) as deployment options Used links to Github examples and Chainlit doc on the LangChain integration Co-authored-by: Dan Constantini --- docs/ecosystem/deployments.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/docs/ecosystem/deployments.md b/docs/ecosystem/deployments.md index 0750257f..c48b6cda 100644 --- a/docs/ecosystem/deployments.md +++ b/docs/ecosystem/deployments.md @@ -19,6 +19,12 @@ It implements a chatbot interface, with a "Bring-Your-Own-Token" approach (nice It also contains instructions for how to deploy this app on the Hugging Face platform. This is heavily influenced by James Weaver's [excellent examples](https://huggingface.co/JavaFXpert). +## [Chainlit](https://github.com/Chainlit/cookbook) + +This repo is a cookbook explaining how to visualize and deploy LangChain agents with Chainlit. +You create ChatGPT-like UIs with Chainlit. Some of the key features include intermediary steps visualisation, element management & display (images, text, carousel, etc.) as well as cloud deployment. +Chainlit [doc](https://docs.chainlit.io/langchain) on the integration with LangChain + ## [Beam](https://github.com/slai-labs/get-beam/tree/main/examples/langchain-question-answering) This repo serves as a template for how deploy a LangChain with [Beam](https://beam.cloud).