A Retrieval-Augmented Generation (RAG)-based AI chatbot integrated with GitHub Copilot
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This Docker image packages the Nexlify AI Agentics Server Crew, a multi-agent AI system built with crewAI. It enables collaborative AI agents to handle complex tasks efficiently. The image is designed for easy deployment, supporting customization via environment variables and configuration files.
Pull the image from Docker Hub:
docker pull deepakpant93/nexlify-ai-agentics-server:latest
Run the container, providing your model API key:
docker run -d -p 8000:8000 \
--env MODEL_API_KEY=your_api_key_here \
deepakpant93/nexlify-ai-agentics-server:latest
Access the Swagger UI at http://localhost:8000/docs.
MODEL: Specifies the AI model (default: gemini/gemini-1.5-flash).MODEL_API_KEY: Required API key for the model (generate from AI Studio).For advanced customization, mount volumes for config files (e.g., /app/src/nexlify_ai_agentics_server/config/).
Mount your custom agents.yaml and tasks.yaml files:
docker run -d -p 8000:8000 \
--env MODEL_API_KEY=your_api_key_here \
-v /path/to/your/agents.yaml:/app/src/nexlify_ai_agentics_server/config/agents.yaml \
-v /path/to/your/tasks.yaml:/app/src/nexlify_ai_agentics_server/config/tasks.yaml \
deepakpant93/nexlify-ai-agentics-server:latest
Modify crew.py or main.py by building a custom image from the source if needed.
If you want to build from source:
git clone https://github.com/DeepakPant93/nexlify.git
cd nexlify/nexlify-ai-agentics-server
docker build . -t deepakpant93/nexlify-ai-agentics-server:latest
View the full source and documentation at GitHub.
Refer to crewAI docs or open an issue on GitHub for help.
MIT License. See the LICENSE file for details.
Content type
Image
Digest
sha256:88ff130d7…
Size
456.3 MB
Last updated
about 1 year ago
docker pull deepak93p/nexlify-ai-agentics-server