Langflow Tutorial: Build No-Code AI Agents and RAGs
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- Опубліковано 23 січ 2025
- Learn how to use Langflow, the low-code AI Agent builder for RAG (Retrieval-Augmented Generation) and chatbot applications! In this detailed tutorial, we'll cover:
1️⃣ What is Langflow?
2️⃣ Creating a simple flow in Langflow.
3️⃣ Building RAG flows for advanced information retrieval.
4️⃣ Setting up RAG Agents for agentic tasks.
5️⃣ Deploying Langflow flows as API endpoints for seamless integration
Pradip, it is a great tutorial for me to understand the basic of langflow and how an ai agent can be built. Very nice work!
Glad it was helpful!
Great tutorial Pradip!
Great tutorial 😃
Please explain how to deploy this?
In the RAG flow, the 'search results' from the ASTRA DB with regards to our chat input is parsed into a text. I didn't understand why this has to be fed again to llm?
From ASTRA DB we will only get matching docs and not answer. to get answer we need to pass question and matching docs to llm
Thank you so much Sir. Please create videos on integrating langflow. Thank you !!!
Noted
Awesome tutorial.
please go depth for AI multi Agent Application
Can you explore more of the multi-agent or is there any way that you can explore into dynamically creating of AI Agents at run time to dive deeper into LLM chats as prompts into sub AI agents etc.
First off, thank you for this up-to-date easy to follow tutorial. I was wondering how to increase the file limit size. I get an error: Document size limitation violated. Any help would be appreciated.
Thanks for the content. Is it possible for you to activate the audio tracks on your old videos ?
Thanks for your comment! Could you let me know which specific videos you’re referring to? If there’s an issue with the audio, I’ll look into it and try to resolve it.
@@FutureSmartAI No, there's no problem. I watch your videos with French audio translation, but only this one offers this feature. Could you activate the audio translation on older videos, such as the Langchain RAG course?
@@aeration198 Thanks let me check. I guess its done by UA-cam automatically.
Hi' great video thanks so much! When adding an LLM component to langflow, I would like the LLM to also search the WEB (similar to the chatGPT offers today). How can I achieve my answer to the user to include info from the web? Thanks!
Hey, go to AstraDB > components column on the right > Data > drag and drop URL into the configuration > enter the URL of the website you wish to include
@@DaddyPhatTats thanks but i didnt mean a URL, want the LLM to search the web for every question asked.
Did you try using `Tavily AI Search Tool `
What are some ways to deploy? I'd like to embed my langflow in my external app.
Make sure you're in Langflow > my projects > select the 3 dots on the right side of the project you wish to export > select download > Langflow will export in Json format
Hii, I'm getting rateLimitError for open api key, how to run it for free??
Yes with multiple tools
Deployment of RAG langflow
Please explain how to deploy this
What are the ways to deploy? I'd like to embed my langflow in my external next.js app.