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Tagged: milvus
Advanced RAG on Milvus: Hybrid Search, HyDE, Query Rewriting and Reranking
Build a Milvus RAG pipeline step by step: dense and BM25 vectors, RRF hybrid search, metadata filters, query rewriting, HyDE, decomposition and cross-encoder reranking.
18 min readChoosing an Embedding Model for RAG: MTEB, BGE, Voyage and OpenAI Compared
Choosing an embedding model for RAG: reading MTEB properly, notes on BGE, Voyage, OpenAI and three more, a five-step Milvus pipeline and a decision framework.
7 min readHow docling-pipelines Stores Document Vectors for RAG With OpenSearch or Milvus
The vector database layer of IBM docling-pipelines for RAG: pluggable OpenSearch and Milvus adapters, stale chunk cleanup, auto dimensions, JSON flows.
7 min readPinecone, Weaviate, Milvus, Qdrant or Chroma: Picking a Vector Database
Plain-language meaning of each vector database pitch, from serverless and hybrid search to Rust and GPU indexing, with trade-offs and when each one fits best.
8 min readPractical notes: Improve RAG Performance — Part 2: HyDE (Hypothetical Document
Operable walkthrough of Practical notes: Improve RAG Performance — Part 2: HyDE (Hypothetical Document: contracts, checks, and drop-in code slots for teams shipping this pattern.
6 min read
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