Very helpful, illuminating video. I’ve seen plenty on overviews, but would love to see more step by steps on how to tutorials overcoming common obstacles to expanding chain complexity (outputs to inputs) & agents’ toolset for beyond pdf digest like email, etc.
Thank you so much for this! I am exploring how no-code like bubble can be integrated with langchain but could not find a way to use it. I hope in your next video you can guide us on how to use langchain in bubble - like a step by step super beginner tutorial that would be amazing!!
Yes it can very easily be integrated into an existing typescript project. Simply install langchain with your favorite package manager such as "npm install -S langchain" for npm Then import the desired module such as: import { OpenAI } from "langchain/llms/openai";
Please guide me on how I can make real-time queries to my API to check availabilities. I have the basics on how to do it with PDF and my own documents in vector-based databases, but I don't know how to query in real-time. How can I create tools that detect this intention? It would be a great video.
@@cerumai I want to create a chatbot that can take orders, schedule appointments, and retrieve real-time information from the database, not through vector data.
This is pretty open ended but ultimately depends how much value you can provide them. Meaning how well you can integrate it into their systems and piece together all the difference pieces of information to create something valuable to a business or customer
It would be nice if you could do some more in depth videos of how to implement this in my own business. Thank you!
Yup certainly!
Very helpful, illuminating video. I’ve seen plenty on overviews, but would love to see more step by steps on how to tutorials overcoming common obstacles to expanding chain complexity (outputs to inputs) & agents’ toolset for beyond pdf digest like email, etc.
Thank you, and yea I totally get it I can look into those more in-depth to show how we’re currently doing it
Good idea for laying out the algorithm.
Thank you so much for this! I am exploring how no-code like bubble can be integrated with langchain but could not find a way to use it. I hope in your next video you can guide us on how to use langchain in bubble - like a step by step super beginner tutorial that would be amazing!!
Yea with current solutions it’s not possible at the moment as you would need some type backend to handle the requests and embeddings (storage)
❤ would love to see the coding part
Love to hear that, stay tuned then!
Just forget to add, could be great if you share a video tutorial of how to inplement this with typescript to a existing proyects
Yes it can very easily be integrated into an existing typescript project. Simply install langchain with your favorite package manager such as "npm install -S langchain" for npm
Then import the desired module such as:
import { OpenAI } from "langchain/llms/openai";
This was great!
Thank you!
Please guide me on how I can make real-time queries to my API to check availabilities. I have the basics on how to do it with PDF and my own documents in vector-based databases, but I don't know how to query in real-time. How can I create tools that detect this intention? It would be a great video.
That’s brilliant! As in ingesting data in real-time direct via API’s and other response formats?
@@cerumai I want to create a chatbot that can take orders, schedule appointments, and retrieve real-time information from the database, not through vector data.
@@6ptech-vy3uc you’ll need to create other logic via agents with API’s that can handle communicating with other software
Broo, amazing videos!
Can we build production-grade Chabot using Langchain with 100 people using it simultaneously?
How much do you think we can charge clients for this implementation?
This is pretty open ended but ultimately depends how much value you can provide them. Meaning how well you can integrate it into their systems and piece together all the difference pieces of information to create something valuable to a business or customer
👏🏼