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Introducing the Local Copilot Chatbot Application: Your Ultimate Document-Based Query Assistant

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                                                  actual screenshot taken of the knowledge bot Introducing the Local Copilot Chatbot Application: Your Ultimate Document-Based Query Assistant In today's fast-paced world, finding precise information quickly can make a significant difference. Our Local Copilot Chatbot Application offers a cutting-edge solution for accessing and querying document-based knowledge with remarkable efficiency. This Flask-based application utilizes the powerful Ollama and Phi3 models to deliver an interactive, intuitive chatbot experience. Here's a deep dive into what our application offers and how it leverages modern technologies to enhance your productivity. What is the Local Copilot Chatbot Application? The Local Copilot Chatbot Application is designed to serve as your personal assistant for document-based queri...

GCP Python Microservices Application

Here is a guide for building an end-to-end application using Django, Celery, DRF, Google Cloud Platform (GCP), RabbitMQ, PostgreSQL, and an API Gateway: Project Setup: Create a GCP Project: Head over to the Google Cloud Console ( https://console.cloud.google.com/ ) and create a new project or select an existing one. Enable billing if you intend to use paid GCP services. Install Prerequisites: Ensure you have Python (version 3.6 or later recommended) and pip (package manager) installed on your development machine. Install required libraries: Bash pip install django celery django-rest-framework djcelery psycopg2-binary pika google-cloud-pubsub Set Up Virtual Environment (Optional): Consider creating a virtual environment using venv or virtualenv to isolate project dependencies. Activate the virtual environment using platform-specific commands. Django Project and App Structure: Create Django Project: Initialize a new Django project using: Bash django-admin st...