Dify.ai has been trending on Github not too long ago, and I needed to take a look at if this software was the simply one other hype AI software, or actually had potential. There are such a lot of instruments on the market that assist construct chatbots, brokers, RAG pipelines, and so forth. However, Dify.ai differentiates itself by offering a no-code software to construct all of the cutting-edge AI hype in minutes. Actually, minutes (20 minutes) from set up (native containerized set up) to constructing my first workflow (powered by Groq, they help all necessary native and cloud suppliers) to summarize information & transcripts.
That’s a whole lot of instruments supported 😱
The enter is handed to a LLM classifier that has two decisions. If it’s information it summarizes the enter. But when it’s transcripts then I wish to do some Python secret sauce to course of the transcripts.
Excuse me, that is solely in 10 minutes. Give me a while and I’ll ship out one thing helpful and superb. I’ve one thing I’ve been that means to work on, however have been laying aside since studying Langchain docs is a nightmare. 😭
I’ve simply scratched the floor. Think about a zoo of animals (instruments/api/brokers) from completely different suppliers (bc they’ve some distinctive taste and strengths) working collectively to create auto farms.
Does this sounds good. Do I begin a tutorial sequence? Let me know within the feedback.
Try this superb product from the official repo linked beneath.
langgenius/dify: Dify is an open-source LLM app development platform. Dify’s intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. (github.com)
Hit me up in case you need assistance putting in or working with the software. I’m nonetheless exploring this software, so I’m simply as noob as you 😋