Metadata Filtering in Vector Databases for RAG
Metadata filtering prevents vector search from returning stale or unauthorized documents.
Saoirse Ó Briain
Section
RAG Pipeline Architecture
9 stories in RAG Pipeline Architecture.
Graph-Enhanced RAG for Multi-Hop Web Knowledge Retrieval
Graph-enhanced RAG chains evidence across documents where flat vector search falls short.
Priya Subramaniam
RAG Evaluation Metrics Beyond RAGAS for Web Knowledge Tasks
RAGAS excels at static corpora but misses four critical dimensions that web retrieval demands.
Saoirse Ó Briain
Embedding Model Selection for Web-Grounded RAG Pipelines
Benchmark scores mislead; test embedding models on your actual messy web corpus.
Devin Matsukawa
Indexing Freshness and TTL Strategies for Web-Sourced Vector Stores
Stale embeddings deliver confident wrong answers without triggering alerts.
Priya Subramaniam
Multi-Stage RAG Pipelines for Production AI Systems
Treating retrieval as one stage instead of five is where production RAG systems fail.
Devin Matsukawa
Re-Ranking Web Retrieved Documents for LLM Context Windows
Reranking alone won't save your RAG system without strategic document placement.
Saoirse Ó Briain
Hybrid Retrieval Combining Dense and Sparse Indexes for Web Search
Combining keyword and semantic search beats either approach alone on diverse queries.
Saoirse Ó Briain
Chunking Strategies for Long-Form Web Documents in RAG
Multiple chunking strategies work best depending on document structure, not one method for all.
Marcus Oyelaran