Embedding Generation
Intermediate1 year experienceAI/ML
Solid understanding with practical experience in multiple projects
My Experience
Expertise in generating and managing text embeddings for RAG systems and other AI applications. Experienced with various embedding models and optimization techniques.
Technical Deep Dive
Core Concepts I'm Proficient In:
• Model Selection: Choosing appropriate embedding models for specific use cases
• Text Processing: Preprocessing and chunking text for optimal embedding generation
• Optimization: Balancing embedding quality with computational resources
• Integration: Integrating embedding generation into RAG pipelines
• Quality Assurance: Ensuring embedding quality and relevance
Complex Problem-Solving Examples:
Document Embedding Pipeline:
Designed and implemented an efficient embedding generation pipeline for Notion documents, ensuring optimal text chunking and embedding quality for accurate information retrieval.
Projects Using Embedding Generation
1 year
Experience
1
Projects
Intermediate
Proficiency