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Case Note2024
Building a Private RAG Service for Internal Knowledge (Anonymized)
#CaseStudy#RAG#KnowledgeManagement
An anonymized case study of building and deploying a private RAG (Retrieval-Augmented Generation) service for internal knowledge management. Covers architecture decisions, embedding strategies, and deployment considerations.
What you'll learn
- Use case definition and scope
- Vector database selection and setup
- Chunking and embedding strategies
- Query optimization and relevance tuning
- Security, access control, and deployment
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