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  1. DeepFellow
  2. deepfellow integration patterns

Integration Patterns

Here's a few real-life scenarios for how you can integrate DeepFellow. More to come!

1. Seamless OpenAI API Replacement

Switch your existing applications to DeepFellow by simply configuring your API client to use your DeepFellow server URL and key. There’s no need to refactor your codebase - your tools, workflows, and scripts designed for OpenAI will work out of the box, making migration quick and risk-free.

2. Hybrid Deployment for Sensitive and General Workloads

DeepFellow enables you to intelligently route requests based on data sensitivity. Use DeepFellow for all prompts containing confidential or regulated data to guarantee privacy and compliance, while keeping less sensitive workloads on cloud AI if desired (with additional anonymization). This allows your business to balance security and scalability without compromise.

3. Task-Based Multi-Model Routing

You can assign different AI models to specific business tasks or user needs - like using a high-accuracy code assistant for development queries, a cost-efficient model for chat, and a highly specialized model for complex data analysis. DeepFellow’s infrastructure handles seamless routing and orchestration without manual intervention.

4. Secure Retrieval-Augmented Generation (RAG) via Vector Databases

Integrate your internal knowledge bases or document repositories with DeepFellow’s vector database support for retrieval-augmented generation. Your AI can dynamically search for and cite information from approved/accessible sources, maintaining data security and source traceability at all times.

Expect the unexpected:

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