Module 5

References and Further Reading

• Named Vectors: declaring more than one vector per point and querying a named one with using.
• Hybrid Queries: prefetch semantics, Reciprocal Rank Fusion with weights, Distribution-Based Score Fusion, and formula queries.
• Indexing and Filterable HNSW: payload index types, why indexes come before ingestion, and the IDF modifier that BM25 scoring needs.
• Filtering: full filter syntax used throughout the capstone, including MatchAny and datetime ranges.
• Bulk Upload: batch sizes and index ordering for the daily ingestion job.
• FastEmbed: the local embedding path behind models.Document and models.Image, and every model name it accepts.
• Multimodal and Multilingual Search: a Cohere Embed 4.0 tutorial building retrieval over images and text in a shared embedding space.
• multilingual-e5-large: the multilingual swap from Analyst Queries, with its 100 languages, 1024 dimensions, and required query and passage prefixes.
• CLIP ViT-B/32: model card for the image model behind Qdrant/clip-ViT-B-32-vision and its text counterpart.