Build a No-Code Chat-with-PDF LangChain app using Flowise and Bubble

Don't know how to code and want to make LangChain apps? We've got you covered! In this tutorial, we'll show you how to create a dynamic chat app where users can upload documents, filter searches, and ask questions directly within their files. Learn how to embed a chatbot, add a chat widget to any website, and explore various scenarios to build your chat application. Start building your own LangChain app today!

Render is a temporary solution to host Flowise until the cloud version of Flowise is made available officially. Render paid instance type is different than the paid team plans. For paid instances, you are only charged for the time you use them. And for flowise installation, we will use a paid instance "starter" which is, as of this video, $7 per month.

To update Flowise installation with the latest release:
Caution - All previously saved flows will be deleted on render, please download them to your computer first.
Please go to GitHub, then select the Flowise repo listed under your account, then click the “sync fork” option, and then “Update branch”.
Once GitHub step above is completed, go to Render account and select your app, then click the "Manual Deploy" option and then "Deploy latest commit". This should update the Flowise app for you. In case deployment gives an error, click "Manual Deploy" and then "Clear build cache & deploy" option.

[jalengonel]

I cannot tell you how appreciative I am of you for making this, you were incredibly helpful for this. Cheers to you

[Therealishmatt]

This was absolutely fire! Thanks a million

[tursunable]

This is what I was looking for! Thank you for the amazing tutorials that fill in the gaps on Bubble!

[CoreAspect]

This is great stuff yet again... looking forward to the next instalment.

[sitedev]

Wow. I've been stumbling around with LangChain using Notebooks and building simple things in Bubble while trying to figure out how to pull everything together. Finally, you've created something that joins the dots. Please do continue creating more videos like this one and I also would like to express interest in any courses you produce that dive deeper in to this space as it continues to evolve (assuming we can all keep up with the ridiculous pace ).

[peralser]

Thanks for sharing. Clear and helpful!

[nocodenexus]

You are the best man! This is a very detailed video. I know nothing about Langchain, but you made me fall in love. Thank you so much. You made everything so easy

[Masterhunter]

Every your video is gold. Please keep up!

[chandrakalagowda]

thanks for giving the link to the bubble app. For beginners it is really helpful. Thank you for this video as well.

[ariwidodo]

Thank you very much. I expect more videos about building apps.

[dhayas]

Awesome bro!!! Thanks for detailed video.. awaiting for the continuation of this video in the next part

[olegxander]

Thank you for sharring all your great knowledge! It would be great if in the future you could dive deeper into combining multiple chains and tool chains

[omountassir]

Yess! The course would be great to have access to! Nice content by the way!

[scottvickrey]

More Flowise videos, PLEASE!!! Do the autoGPT flow and maybe even mention for others how to avoid cors errors by editing the client.ts in flowise by adding '*' You already helped me a lot! Thank You!

[JeroenErne]

really cool stuff 😉 very well explained

[RafayRaheel]

Thank you for the amazing tutorial. Just wanted to ask you about one issue im facing. My api returns response with : {"text":" "} and this text header gets stored in the database too and this is what gets gets displayed on the front end. Is there a way to make sure that api responses dont have {"text":" "}?

[vmnebfq]

Hey man this is great, but just had one question can we use the bubble database instead of the Pinecode database in this case we will have more control on the input since it is in the database

[Megamil]

Hello,

I am currently using the FlowiseAI APIs for my chatbots. As of now, I am using a single chatflow for all my clients, identified by the ID: 52...a5. However, I am interested in creating or cloning chatflows dynamically for each client via the API, instead of manually creating them through the graphical interface.

Could anyone guide me on how to achieve this? Any help would be greatly appreciated.

Thank you.

[Francotujk]

HI! How can it be done with the current version of Flowise (they have made one node for the vector store).
It's quite complex to upsert and then load the document

[Slipknotbira]

Hello, is there any way to delete a specific PDF from Pinecone with Flowise? or delete the index/namespace completely?
Thanks.