Langflow turns LangChain components — LLMs, prompts, agents, vector stores — into nodes you wire together on a canvas and test in real time, making RAG systems and multi-agent workflows accessible without deep LangChain expertise. It can be self-hosted or run through DataStax Astra, and it exports deployable Python code from any workflow you build visually.
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