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Article Applied AI & ML ★ Featured

What is Retrieval-Augmented Generation (RAG)?

A plain-English explanation of RAG: why it beats pure LLM memory for production knowledge systems.

RAG LLM embeddings vector database retrieval
2 views Mar 30, 2026
Project Projects & Case Studies ★ Featured

Diagnostic RAG for heavy equipment

Indexed 4M+ pages across PDFs & manuals; latency < 400ms; 32% fewer escalations.

RAG heavy equipment PDF Claude retrieval
2 views Mar 30, 2026
Article Data & Platform ★ Featured

Choosing a vector database: pgvector vs Pinecone vs Weaviate

A practical comparison across dimensions that matter for production RAG systems.

vector database pgvector Pinecone Weaviate embeddings
3 views Mar 30, 2026
Article Data & Platform

MongoDB Schema Design Patterns

Embedding vs referencing, the subset pattern, and indexing strategy.

MongoDB schema design embedding referencing bucket pattern
1 views Mar 30, 2026
Article Data & Platform

Vector Embeddings — How They Work and Where They Live

From text to vectors, similarity search, and choosing the right embedding model.

embeddings vector search ANN HNSW MTEB
1 views Mar 30, 2026