Module 3References and Further Reading
- Hybrid Queries: prefetch semantics, both fusion strategies, and their tuning parameters.
- Understanding SPLADE and Sparse Vectors: how sparse vectors work and how SPLADE compares to BM25.
- miniCOIL: Sparse Neural Retrieval: why miniCOIL exists and how it extends BM25 with contextual meaning.
- Filtering: full filter syntax and the payload index each condition needs.
- Named Vectors: configuring and querying more than one vector on a single point.
What’s Next: Module 4
Eight products rebuild in seconds. On a collection that takes hours to embed, one wrong decision means embedding everything again.
Module 4 designs a global news system decision by decision: what you can change on a live collection, what forces you to start over, and where Qdrant runs, from Docker to Edge.