Build powerful AI apps and agents with Langflow’s intuitive framework and the largest agent ecosystem and one-click deploy @ scale.
See why over 50K developers have starred Langflow on GitHub!
Langflow is a Python-based visual builder for AI workflows and multi-agent applications that can use any model, API, or data as tools.
Isolate and test each step of the retrieval chain. Connect and switch out embedding models, LLMs, APIs, data sources, and more, with prebuilt, drop-in components.
Create all the LangChain objects needed to deploy your app in production on the world’s most scalable AI cloud. Create a free cloud account or use open source.
Langflow is now more intuitive and powerful. Whether you are a developer shipping AI apps to production, or prototyping a new idea, see why over 50K developers have starred Langflow on GitHub.
Hosted Langflow integrates seamlessly with Astra DB while remaining agnostic to any vector database. Best of all, it’s free to build, test, and deploy with the largest agent ecosystem.
Langflow’s Python-based framework offers unlimited power and integrations. Starred on GitHub by over 50K+ developers, Langflow is the fastest way to create powerful multi-agent and RAG applications.
Langflow simplifies app development of RAG (retrieval-augmented generation) and multi-agent AI pipelines and apps. Langflow is a visual low-code builder with prebuilt components to connect to any data source, vector database (from Astra DB to MongoDB or Pinecone) or API.
Langflow is a framework that creates all the LangChain objects needed to go into production, but still enables full control over code in a Python-based application. Langflow is integrated with LangSmith for monitoring and observability of your AI apps and pipelines.
Astra DB from DataStax is a serverless vector and NoSQL database and data API for building AI applications with unlimited scale, 20% more relevance than Pinecone, provides ease of use, and supports enterprise compliance and security.
Yes. Langflow is agnostic to any data source (web, documents, streaming) and vector or other databases. Langflow’s cloud service is tightly integrated with Astra DB but works with any data store.
Yes, Langflow is free to use. Developers can create a free account and build, test and deploy Langflow applications for free.
Sign into your Astra DB account and get started today!
Yes. The PaaS API is in public preview and free to all DataStax Langflow users. Create a free account today!
Langflow provides a low-code environment that simplifies the development of AI agents and workflows. With built-in support for Astra DB and vector search, it enables developers to quickly create AI applications like chatbots, recommendation systems, and natural language processing models.
Yes, Langflow is designed for building RAG applications, which combine vector search with large language models (LLMs) to deliver more accurate and context-aware responses. Its integration with Astra DB ensures fast data retrieval for real-time AI use cases.
Langflow integrates with popular AI frameworks such as TensorFlow, PyTorch, and OpenAI APIs. It also works with LangChain, enabling developers to create advanced AI workflows that leverage vector search and machine learning models.
Absolutely! Langflow’s low-code interface makes it accessible to beginners, while its support for custom workflows and API integrations provides the flexibility that experienced developers need to build complex AI solutions.
Yes, Langflow supports both cloud-based and on-premises deployments, allowing businesses to build and run AI applications in the environment that best suits their needs. Its compatibility with Astra DB ensures seamless data integration regardless of deployment location.