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Chainlit

Chainlit is an open-source Python framework for building conversational user interfaces for language-model applications.

How 2 Manning books explain it

Machine Learning Platform Engineering

Chainlit is an open-source Python framework for building conversational user interfaces for language-model applications.

How it is used
Provides a familiar chat interface for a deployed RAG application used to query company documentation.
How deep it goes
Walks through installation, asynchronous startup, input validation, and streaming integration while leaving frontend implementation to Chainlit.
Examples
Shows a company-documentation assistant with a reusable RAG core, startup messages, validated queries, source information, and streamed responses.
What you can do after
Build it from scratch by wiring a reusable Python RAG component into Chainlit chat-start and message handlers.

Read how Machine Learning Platform Engineering explains Chainlit →

LLMs in Production

Chainlit is a software tool for building applications with large language models and conversational interfaces.

How it is used
Builds interactive web applications around large language models with common interface and deployment features already available.
How deep it goes
Characterizes Chainlit's purpose and feature set but does not provide implementation steps or a Chainlit code example.
Examples
Uses interactive model web applications and a comparison with Streamlit, Gradio, and vanilla HTML and JavaScript as concrete context.
What you can do after
Apply Chainlit to get an LLM application running quickly with interface customization, authentication, and cloud-hosting options.

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Related concepts

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