Unleashing the Power of LLM for Enterprisesπͺ
π Documents β’ π δΈζ β’ π English
NextConsole is an open - source project meticulously crafted for enterprise users, designed to empower businesses to rapidly and efficiently construct intelligent systems based on large - language models. With NextConsole, enterprises can effortlessly build intelligent agents, knowledge bases, workflows, and a wide range of applications, significantly reducing development time and costs while accelerating the process of enterprise digital transformation. π
| Feature | Description |
|---|---|
| Rapid Development β‘ | NextConsole streamlines the development process, allowing enterprises to quickly implement large - language model - based solutions without getting bogged down in complex technical details. |
| Customization π οΈ | The open - source nature of NextConsole enables enterprises to customize the system according to their specific needs, tailoring intelligent agents, knowledge bases, and workflows to fit unique business requirements. |
| Scalability π | The architecture of NextConsole is designed to scale, accommodating the growth of enterprise data and business operations, ensuring long - term viability and adaptability. |
In the realm of IT operations, NextConsole revolutionizes the way enterprises manage their systems. Intelligent agents can continuously monitor system status in real - time, leveraging the knowledge base to swiftly diagnose and resolve issues. By optimizing workflows, NextConsole enhances the efficiency and quality of IT operations.
| Company Type | Before NextConsole | After NextConsole |
|---|---|---|
| Multinational Corporation | Incident response time: long Problem resolution rate: relatively low |
Incident response time reduced by 50% Problem resolution rate increased by 30% |
For instance, a multinational corporation's IT department adopted NextConsole and witnessed remarkable improvements as shown in the table above.
NextConsole also excels in document intelligent review scenarios. It can perform rapid and accurate reviews of documents based on predefined rules and the knowledge base, highlighting errors, vulnerabilities, and improvement suggestions.
| Company Type | Before NextConsole | After NextConsole |
|---|---|---|
| Leading Law Firm | Review cycle: days Service responsiveness: limited |
Review cycle reduced from days to hours Service responsiveness significantly enhanced |
A leading law firm integrated NextConsole into its document review process, and the results are clearly presented in the table.
NextConsole offers enterprises a powerful, open - source platform that combines the latest advancements in large - language models with practical, real - world applications. Whether you're looking to enhance IT operations or streamline document review processes, NextConsole is your go - to solution for building intelligent, efficient, and customized enterprise applications. π
Before starting to use NextConsole, please ensure that your environment meets the following basic resource dependencies:
- Hardware Configuration: At least 2 CPU cores and 4GB of memory.
- Operating System: Linux system.
- Browser: Chrome browser, version 110 or higher.
- Containerization Tool: Docker.
Open the terminal and use the cd command to enter the Docker directory of NextConsole:
git clone https://github.com/TuringOpsSH/NextConsole.git
cd NextConsole/dockerUse the vi editor to open the configuration file config/server/config_private.py:
vi config/server/config_private.pyIn the configuration file, you need to make the following configurations:
Domain Configuration: Set the domain name of the application. Here is an example using the local address:
app.config["domain"] = "http://<your_server_ip>:8080"
app.config["admin_domain"] = "http://<your_server_ip>:8082"Use the vi editor to open the configuration file config/admin/config_private.py:
vi config/admin/config_private.pyIn the configuration file, you need to make the following configurations:
Domain Configuration: Set the domain name of the application. Here is an example using the local address:
app.config["domain"] = "http://<your_server_ip>:8080"
app.config["admin_domain"] = "http://<your_server_ip>:8082"After the configuration is completed, use the following command to start the Docker containers:
docker compose up -dAfter the successful startup, you can access the corresponding services through the following addresses:
- Server Service: Visit
http://127.0.0.1:8080 - Admin Service: Visit
http://127.0.0.1:8082
Default Login Information:
- Username:
[email protected] - Password:
next_console
Log in to the Admin service at port 8082. Find the "Model Management" function module and configure the corresponding models according to your needs.
Log in to the Server service at port 8080. Click on the "AI Workbench" to start your intelligent experience!
By following the above steps, you can quickly start NextConsole and begin using it! π
- Docker 21+ installed
- Node.js 16+ (for frontend build)
- Python 3.11+ (for backend services)
git clone https://github.com/TuringOpsSH/NextConsole.git
cd NextConsole
docker build -f docker/build/server/Dockerfile -t nc:standalone . docker build -f docker/build/web/Dockerfile -t nc-web:standalone .vi docker/docker-compose.yml
docker-compose -f ./docker/docker-compose.yml up -dThe AI Resource Library serves as a reliable data management assistant, providing fundamental data for Retrieval Augmented Generation (RAG).
| Function | Description |
|---|---|
| File Management | Allows users to upload, download, delete, and rename files. It also supports creating folders for organized storage. For example, a company's R & D department can categorize technical documents. |
| File Preview | Enables direct preview of common file formats without the need for external applications. Marketing staff can quickly view research reports, for instance. |
| File Sharing | Supports sharing files with customizable access permissions through various methods. A project manager can share progress reports securely. |
| Data Provision for RAG | Conducts semantic analysis and indexing of files to assist large - language models in providing accurate responses. An intelligent customer service can refer to the library for answers. |
The AI Workbench integrates AI search and AI - agent application functions, offering a one - stop interactive experience.
| Function | Description |
|---|---|
| AI Search | Supports both keyword - based and semantic searches, presenting sorted results. Searching for ways to enhance product competitiveness can yield comprehensive answers. |
| AI - agent Applications | Integrates a variety of professional AI - agents that can be invoked with simple instructions. Copywriters can use them to generate promotional copy. |
The AI Application Factory enables visual construction and management of large - model agents.
| Function | Description |
|---|---|
| Visual Construction | Uses a graphical interface to drag and drop components without complex coding. A business department can build an intelligent customer - service workflow, for example. |
| Release Management | Supports version control, performance monitoring, etc., and allows for on - demand optimization. A development team can regularly optimize agents. |
We are committed to building an open and friendly developer community. All developers interested in AI Agent development are welcome to join us!
Visit NextConsole Official Documentation to access:
- Latest version documentation
- API reference
- Advanced development guides
- Best practice cases
- Frequently asked questions
Our documentation center is continuously updated. We recommend bookmarking this address for the latest materials π