#Retrieval

See how a minimal PostgreSQL RAG stack competed on MuSiQue and BRIGHT, using hybrid search, Claude, and systematic experiments to avoid pipeline complexity.

Embeddings know that "broken" means "defective". They may not notice that ZX-4821 is not ZX-4812.

A practical architecture review of AWS's Ray-based RAG ingestion pipeline—and the reliability, security, and retrieval gates needed to operate RAG in production.

Short answer: for an in-app chatbot, the right API for semantic search integration is an embeddings...

For a support system that turns sales calls into CRM actions, the safest way to control...

Short answer: use four gates for marketplace listing discovery: an explicit collection, an allowed...

Separate ingestion from retrieval, handle HNSW contention, and build a runnable PostgreSQL boundary that won't collapse under concurrent load.

Recruiting search has a stricter failure mode than a normal semantic search box: two copies of a...

Short answer: use staged retrieval with explicit vector collections, bounded queries, and source...

Short answer: for an online course tutor, use a staged retrieval architecture with explicit...

News monitoring gets difficult when pagination changes the evidence set underneath an answer. My rule...

Short answer: choose staged vector retrieval first for a privacy-focused personal knowledge manager,...

Learn about building “Miranda” — a multimodal search engine indexing 280K+ fashion images using OpenCLIP, PyTorch GEMM, and local LLMs without a vector database.

Learn why vector search can rank contradictory statements as similar, and how hybrid retrieval can help RAG systems identify conflicting information.

From static retrieval pipelines to autonomous reasoning engines: a complete breakdown of how these two architectures work, where each falls short, and how to choose the right one for your use case.

Choosing the right framework for your large language model application comes down to one question: what are you actually optimizing for?

The page says chunking has degraded retrieval quality in the internal knowledge-base bot. What that...

Short answer: for a financial research dashboard, use a staged retrieval architecture with explicit...