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I recorded a video on how you can build a complete RAG application without writing any code. I used Langflow, an open-source project that sits on top of Langchain. Langflow hides all the complexity and makes the process 10x easier. This is a step-by-step tutorial.
96,106 просмотров • 2 лет назад •via X (Twitter)
Комментарии: 10

Here is the same video on YouTube, in case you prefer to watch it there:

Great walkthrough. Very helpful. Love how it goes through every step end to end. Thanks Santiago!

This was really interesting to watch! I have made something extremely similar with but it's interesting to see how it could be done with Langflow.

It really helped to create a chatbot with custom URL and integrate it with VoIP for conversational IVR

Thanks for always sharing a high value information.

Thanks Santiago for sharing this video. I was able implement it with ease.

Swarms nukes LangChain, and it's open-source. Give it a try, let me know what you hate, and I'll make it even better.

Thank’s SO MUCH for this tutorial. I’ve managed to build a RAG in Langflow but struggling with how to use multiple pdf’s as the source instead of a website. Managed to do it with a single document using the “file” component, but can’t figure out multiple pdf’s. Any suggestions?

the major problem with a UI-based approach is that while its better for Humans, its not actually better for AI. an API or even better a native library is a better approach, something like Langchain / Langgraph -> because while they have a UI (Langsmith Studio), they're mostly code-based. think about how good LLMs are now at generating react code, the availability of the framework that you are building on to be managed (code review, testing, writing) with an IDE like cursor is going to be a huge differentiator in the next 5yr

This is a very nice video and I like the explanation also. I watched all of it. How can one export this to a vps?

