Langflow
Langflow is a platform that simplifies building AI agents by connecting models, vector stores, memory, and other AI building blocks. It is relevant to vector databases as it supports integration with vector stores for AI-powered agents.
About this tool
Langflow
Langflow is a low-code tool designed to help developers build, deploy, and manage AI agents and workflows. It enables integration with a wide variety of models, APIs, databases, and vector stores, and provides both a drag-and-drop interface and Python customization for building complex AI applications.
Features
- Low-code Visual Builder: Drag-and-drop interface for building AI workflows and agents.
- Integration with Multiple Data Sources: Supports connection to a wide range of data sources, models, APIs, and vector stores (e.g., OpenAI, HuggingFace, Pinecone, Chroma, Milvus, Qdrant, Weaviate, Google Drive, Notion, Slack, and more).
- Reusable Components: Ability to use and share pre-built or custom components to accelerate workflow development.
- Python Customization: Full Python support under the hood for customizing any part of the workflow.
- API Access: Expose flows as APIs for use in production or other applications.
- Flexible Deployment: Deploy flows on a secure cloud platform or self-host; production-grade cloud available.
- Collaboration: Run, share, and collaborate on flows with other users.
- Pre-built Flows and Marketplace: Access to a marketplace (coming soon) with hundreds of pre-built flows and components.
- Security and Compliance: Cloud platform is ready for ISO, HIPAA, SOC 2, and PCI compliance.
- Rapid Iteration: Quickly iterate and evaluate workflows beyond basic testing.
- Cross-platform: Desktop app available for macOS (alpha), and can be installed via pip.
Pricing
- Free Plan: Get started for free, details on other plans are not specified on the provided content.
Category
- SDKs & Libraries
Tags
- ai, vector-stores, integration, open-source
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