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@sahilsangani4747
@sahilsangani4747 4 ай бұрын
Wonderful demo! Can I connect with Load Balancer / Lambda function which triggers Bedrock?
@HomeIDHomeID-uy6nq
@HomeIDHomeID-uy6nq 6 ай бұрын
Thanks for usefull video! I would like to add prop to AiChat (component) such as conversationID/threadID? How to add customize key (props) to AiChat? Thank in advanced.
@AbhishekKumar-r7v5q
@AbhishekKumar-r7v5q 10 ай бұрын
Can it work with knowledge base without any api Integration ?
@artusdelonguemar640
@artusdelonguemar640 10 ай бұрын
This is very powerful, congrats for the talk Salmen and for what you have developed with the team @nluxai ! Will be very happy to use it of our leadership assistant ! 👌
@eddiejaoude
@eddiejaoude 10 ай бұрын
I look forward to watching this video Salmen!
@nlkitai
@nlkitai 10 ай бұрын
Thank you @eddiejaoude ☺ We love your YT channel and what you're doing to promote open-source ❤👨‍💻
@eddiejaoude
@eddiejaoude 10 ай бұрын
@@nlkitai thank you! ❤
@CloudScience-z4l
@CloudScience-z4l 11 ай бұрын
I want to use a tool like this for RAG. Not just for basic completions. Will this tool work for me?
@nlkitai
@nlkitai 11 ай бұрын
nlux is mainly used to build the UI that interacts with LLMs. if you would like to customize your LLM using RAG, you can use frameworks such as LangChain. doc here: js.langchain.com/docs/expression_language/cookbook/retrieval Then you can use nlux LangChain adapter to connect to create a UI for your customized LLM
@CloudScience-z4l
@CloudScience-z4l 11 ай бұрын
@@nlkitai really appreciate that clarification. I just needed a front end UI tool kit. still think there are RAG elements. Like in the Demo the way the tool was able to read data from a table.