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  <img class="date-icon" src="/icons/outline/date-blue.svg" alt="Calendar" />  Module 5 
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# References and Further Reading

- [Named Vectors](https://qdrant.tech/documentation/manage-data/vectors/index.md#named-vectors): declaring more than one vector per point and querying a named one with `using`.
- [Hybrid Queries](https://qdrant.tech/documentation/search/hybrid-queries/index.md): prefetch semantics, Reciprocal Rank Fusion with weights, Distribution-Based Score Fusion, and formula queries.
- [Indexing and Filterable HNSW](https://qdrant.tech/documentation/manage-data/indexing/index.md): payload index types, why indexes come before ingestion, and the IDF modifier that BM25 scoring needs.
- [Filtering](https://qdrant.tech/documentation/search/filtering/index.md): full filter syntax used throughout the capstone, including MatchAny and datetime ranges.
- [Bulk Upload](https://qdrant.tech/documentation/manage-data/bulk-upload/index.md): batch sizes and index ordering for the daily ingestion job.
- [FastEmbed](https://qdrant.tech/documentation/fastembed/index.md): the local embedding path behind `models.Document` and `models.Image`, and every model name it accepts.
- [Multimodal and Multilingual Search](https://qdrant.tech/documentation/tutorials-basics/multimodal-search/index.md): a Cohere Embed 4.0 tutorial building retrieval over images and text in a shared embedding space.
- [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large): the multilingual swap from [Analyst Queries](https://qdrant.tech/course/beginners/module-5/analyst-queries/index.md), with its 100 languages, 1024 dimensions, and required query and passage prefixes.
- [CLIP ViT-B/32](https://huggingface.co/openai/clip-vit-base-patch32): model card for the image model behind `Qdrant/clip-ViT-B-32-vision` and its text counterpart.