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Tagged: hybrid-search
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 readA MongoDB-Backed Virtual Filesystem for LangChain Deep Agents
A MongoDB-backed virtual filesystem for LangChain Deep Agents: bytes in object storage, search in Atlas with hybrid grep, rank fusion, chunking and sync.
8 min readFrom Naive to Production RAG on SEC 10-K Filings: Chunking, Hybrid Search
Why a textbook RAG pipeline failed on 300-page 10-Ks, and the fixes: section-aware chunks, hybrid retrieval, cross-encoder reranking, validation and metadata citations.
8 min readSeven RAG Architectures Beyond the Naive Pipeline and When Each Fits
Naive RAG breaks in predictable ways. Seven architectures, from contextual notes to multi-agent and memory retrieval, with their trade-offs and when to use each.
9 min readFrom Prototype to Production RAG: Hybrid Search, Agents and Evaluation
A reference architecture for production RAG in .NET: chunking, hybrid and graph retrieval, re-ranking, query planning, typed output and ongoing evaluation.
8 min readHybrid Search in Postgres for a Health Assistant: Schema, Chunking, RRF and Evals
Hybrid search in Postgres for a health assistant: structure-aware chunking, pgvector with RRF, binary quantization, score thresholds and a proper evaluation.
19 min readSeven RAG Patterns Beyond the Basic Chatbot and When Each One Fits
A field guide to naive, hybrid, corrective, self-reflective, multi-hop, graph and contextual RAG: what gap each one closes, its components, and how to choose.
7 min readRetrieval Over an Engineering Wiki: BM25, Token-Safe Dense Windows and RRF
Evaluation-first retrieval for a technical wiki: exact-evidence targets, a BM25 baseline, a MiniLM truncation bug, token windows and reciprocal rank fusion results.
7 min readHybrid Search for RAG: BM25, Vectors and Reciprocal Rank Fusion in Practice
Hybrid search for RAG: why vector-only retrieval loses exact IDs, how Reciprocal Rank Fusion merges BM25 with embeddings, and where hybrid still falls short.
11 min read
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