Code: RAG using ChromaDB and LLM models
Download the ipynb file
Download the ipynb file
winepair.ru selects a perfect wine for the restaurant guests. The bot uses LLM models and RAG to provide personalized recommendations. It asks for information about the user, the food they ordered, preferences and whether the person is alone, with a company of friends of fiancé. It also takes into account metadata such as weather, the restaurant, menu, and more.
The bot will soon be available in the Mates network of bars and restaurants: @mates_wine_bot.
Cookie channel shows how to loose weight or to keep fit. All articles are based on scientific studies and are written simply, so that everyone can understand it. Find also new features of Cookie there
https://youtube.com/shorts/YNQjtxPukcQ?si=V3SziV_9-k0zGCTl
https://youtube.com/live/9k1sPE6HNX8?si=BeUOI6LHlLC8uc-q
46:11
@ACookiebot is now available in English. Free trial 14 days.
@PechenkaRobot is available in Russian. Free trial 14 days.
Version 0.0.8 (30 May) (to be done)
Version 0.0.7 (19 April)
Version 0.0.6 (17 Feb)
Version 0.0.5 (8 Feb)
Version 0.0.4 (25 January)
I have developed a stock dashboard tailored to the unique requirements of individual users. The Minimum Viable Product (MVP) features basic statistics, graphical representations, an AI assistant, search functionality, competitor analysis, and a database that retains user queries.
The forthcoming version of the application will incorporate the ten most popular analytics for company assessment, along with five advanced machine learning methods designed to forecast stock prices.
Subsequent iterations will employ Large Language Models (LLMs) to analyze news content. This functionality will identify risks that are publicly known, as well as those understood by only a select few. This innovative approach will provide empirical evidence to determine whether indicators like the Relative Strength Index (RSI) and Bollinger Bands, among other techniques, accurately signal optimal times for either shorting or going long on a stock.
At koveh.com/countries/index.html add the countries you visited this year, last year, in your life or with fiancé.
New year comes shortly and it is time to make the Year end results. For example, travel. I was in 12 countries this year: Austria, Malta, Germany, Swiss, Slovakia, Hungary, Slovenia, Russia, Serbia, Turkey, Finland, Estonia. I created a map that visualises your travel. Add your data and share your results with friends
AI image generator posted daily financial terms in a telegram channel. It uses OpenAI technology to generate interesting definitions and descriptions of financial instruments, events, terms and books
In summer, I created an online school for a lawyer. Unfortunately the project was stalled by a lawyer for some reason. It took me 2 months to create a responsive website with the most modern software on it. I would like to continue developing this website for someone else.
If you want to start your online school with integration of AI and anything you wonder about, you are welcome to contact me at Daniil@Koveh.com.
Take a look at presentation for Yandex and the presentation for investors, and try Cookie in telegram.