Building a Local RAG System for Privacy Preservation with Ollama and Weaviate
📰 Weaviate Blog
Implement a local Retrieval-Augmented Generation pipeline with Ollama and Weaviate for privacy preservation
Action Steps
- Set up a self-hosted Weaviate vector database via Docker
- Implement Ollama language models for local Retrieval-Augmented Generation
- Integrate Ollama with Weaviate using Python
- Test and fine-tune the local RAG pipeline for optimal performance
Who Needs to Know This
AI engineers and data scientists can benefit from this approach to maintain data privacy while using AI models, and software engineers can utilize this for building secure data pipelines
Key Insight
💡 Using a local RAG pipeline can help preserve data privacy by keeping sensitive information on-premises
Share This
🔒 Build a local RAG pipeline with Ollama & Weaviate for secure AI
DeepCamp AI