LLM Orchestration

Langchain-Chatchat

Local knowledge-based QA app with Langchain support.

Status
Generally available
Last checked
Checked · Oct 11, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Formerly known as langchain-ChatGLM, this tool provides a local environment for running language models like ChatGLM, enabling developers to build and deploy question-and-answer applications using Langchain.

Langchain-Chatchat stands out as a fully open-source, locally deployable solution for language model-based applications, offering developers complete control over their AI infrastructure without relying on cloud services.

When it fits — and when it doesn’t

A good fit for

  • Teams needing a local deployment solution for language model-based applications without cloud dependencies.

  • Developers working on projects that require privacy-preserving, offline-capable AI solutions.

Look elsewhere if

  • Projects requiring real-time interaction with large-scale datasets hosted in the cloud.

  • Applications where low-latency responses are critical and local processing cannot meet performance requirements.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Performance bottlenecks with large-scale deployments

    Local deployment can struggle with resource constraints when handling high volumes of concurrent requests

What it does well

  • Supports local deployment of language models like ChatGLM.

  • Built on Langchain for advanced natural language processing tasks.

  • Open-source and freely available under the Apache-2.0 license.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Langchain-Chatchat

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
Get the badge

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Langchain-Chatchat — tracked on AI Navigator

Markdown

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HTML

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