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Source channel @githubtrending · Post #15166 · Sep 25
#python#ai#ai_chat#chatgpt#enterprise_search#gen_ai#information_retrieval#llm#llm_ui#nextjs#python#rag Onyx is an open-source AI platform that lets you easily create and use custom AI chat agents with any large language model (LLM). It supports advanced features like web search, document search, code execution, and connecting to over 40 apps, all while keeping your data secure and private. You can deploy it quickly on your own servers or cloud, making it great for individuals or large teams. Onyx helps you get accurate, reliable answers from your own knowledge and automates tasks, improving productivity and collaboration in your work. It’s flexible, secure, and free to start with. https://github.com/onyx-dot-app/onyx
Search: #sequential
@djangoproject · Post #98 · 07/11/2016, 12:22 PM
https://docs.python.org/3/library/asyncio.html #asyncio #Asynchronous programming is more complex than classical “#sequential” programming: see the Develop with asyncio page which lists common traps and explains how to avoid them. Enable the debug mode during development to detect common issues.
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@djangoproject · Post #153 · 09/03/2016, 08:20 PM
http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.