Livestream July 31: Learn to build a JavaScript AI app using Astra DB & Langflow

Langflow

AI App Development Made Easy

Simplify RAG and multi-agent application development with Langflow’s drag-and-drop IDE, rapid development, and one-click deploy @ scale.

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BENEFITS

Visual IDE for GenAI App Development

No-Code RAG Builder

Langflow is a visual IDE to rapidly build AI pipelines and agents, with prebuilt connections to any API or data source. It’s Python-based, open source, and agnostic.

No-Code RAG Builder

Test and Iterate Faster with Real Data

Isolate and test each step of the retrieval chain. Connect to and switch out embedding models, LLMs, APIs, data sources, and more, with prebuilt, drop-in components.

Test and Iterate Faster with Real Data

One-Click Deploy @ Scale

Langflow creates 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.

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One-Click Deploy @ Scale

DEVELOPERS

Start Langflow in the Cloud or Open Source

Langflow in the Cloud

Hosted Langflow is integrated with Astra DB but agnostic to any vector database. Best of all, it’s free to build, test, and deploy!

Langflow Open Source UI

Langflow Open Source

Langflow’s Python-based deployment lets you experience the simplicity of a visual IDE with all the integrations, run where you need it.

Resources

DEMO VIDEO

Use Langflow to Build a LangChain LLM Application in 5 Minutes

Build an LLM chat application with memory in 5 minutes with Langflow!

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BLOG POST

Langflow and Astra DB Are Integrated with NVIDIA NeMo Retriever NIM!

The DataStax AI PaaS is now integrated with NVIDIA’s NeMo Retriever for state-of-the-art embedding retrievals.

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WHITEPAPER

Reference Architecture: Demystifying LLM-based Systems

Design patterns, architectural examples, and tools to help navigate the complex world of LLMs—and get generative AI apps to production.

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Get Started with Langflow Today

Experience the simplicity of low-code RAG development and test your application within minutes with Langflow.

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FAQ

What is Langflow used for?

Langflow simplifies app development of RAG (retrieval-augmented generation) and multi-agent AI pipelines and apps. Langflow is a visual no-code/low-code builder with prebuilt components to connect to any data source, vector database (from Astra DB to MongoDB or Pinecone) or API.

What is the difference between Langflow and LangChain?

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.

What is Astra DB?

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.

Can I use Langflow with other vector databases?

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.

Is it free to use Langflow’s hosted cloud service?

Yes, Langflow is free to use. Developers can create a free account and build, test and deploy Langflow applications for free.