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Langflow

Visual open-source builder for RAG and AI agents.

Reviewed by Editorial Board • Fact-Checked: 2026 Standards • Testing Status: Verified & Tested

Quick Keypoints

  • Visual drag-and-drop builder for custom RAG pipelines.
  • Supports local models, vector databases, and custom agents.
  • Open-source code, completely free for local self-hosting.
  • Enables rapid prototyping and testing of agent chains.

What is Langflow?

Visual open-source builder for RAG and AI agents.

Langflow provides a visual drag-and-drop builder for custom RAG pipelines and autonomous AI agents.

Who Needs Langflow?

AI engineers, developer teams, and RAG system architects.

Primary Use Cases

  • Streamlining team workflows and automations.
  • Summarizing and organizing complex content assets.
  • Enhancing day-to-day productivity using smart AI helpers.

Important Features

  • Visual Builder: Drag and link model nodes, database modules, and prompts.
  • Custom Code: Write custom python functions inside individual nodes.
  • API Export: Publish finalized builder workflows as API endpoints.

Current Updates About Langflow

  • Version 1.11 added checkpoints for human-in-the-loop validation, multi-vector late interaction retrieval (ColPali/ColBERT), and Langflow Desktop.
  • Current Version: v1.11

Alternatives to Langflow

If you want to check similar software, these alternative tools offer comparative features:

Pricing Plans

Plan Price
Open SourceCompletely free to self-host and customize locally or on private cloud infrastructure. $0

Editorial Verification

Independent Testing

This review was audited under our 5-Pillar Testing Framework: Output Quality, UI/UX Ease, Pricing Transparency, Feature Depth, and Support.

Read Our Review Methodology →

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