GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Unveils capabilities for LLM-powered Dart/Flutter applications with a focus on component chaining and RAG pipelines.
Good fit when
- You are developing Dart or Flutter applications that require integration with various Language Models (LLMs) without rewriting extensive connectivity code.
- Your application demands complex use cases such as implementing a Retrieval-Augmented Generation (RAG) pipeline, where you need to retrieve relevant documents and combine them with model responses.
Avoid when
- Your application does not require the chaining of multiple components or complex use cases such as RAG pipelines and can function with direct, simple API calls to language models.
- You are looking for a framework that supports languages other than Dart; LangChain.dart is specifically designed for Dart/Flutter applications only.
- Pricing:
- freemium - Freely available for use and licensed under MIT. No explicit service-level pricing is outlined beyond potential costs from using integrated third-party models or services.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 8, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 8, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/davidmigloz/langchain_dartSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LangChain.dart provides a unified interface for calling different Language Models (LLMs) and enables chaining multiple components to implement complex use cases, such as RAG pipelines in Dart/Flutter applications.
Capability facts
- Languages
- dart
Source: github.language · Sep 8, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 8, 2026)
To start using LangChain.dart, add `langchain` as a dependency to your `pubspec.yaml` file. Also, includSource link
Tags
README
Getting started To start using LangChain.dart, add as a dependency to your file. Also, include the dependencies for the specific integrations you want to use (e.g. , , , etc.): The most basic building block of LangChain.dart is calling an LLM on some prompt. LangChain.dart provid...
For agents
This page has a .md twin and JSON over the API.