vector search - IoT Digital Twin PLM

ColPali and Visual Document Retrieval: Late-Interaction RAG (2026)

By MPRAUTO MPRAUTO July 29, 2026AINo Comments

ColPali explained: how late-interaction vision-language retrieval indexes document page images directly - MaxSim scoring, storage trade-offs, and a production multimodal RAG architecture.

Matryoshka Embeddings: Adaptive-Dimension Retrieval Architecture (2026)

By MPRAUTO MPRAUTO July 28, 2026AINo Comments

Matryoshka embeddings explained: how Matryoshka Representation Learning nests multiple dimensions in one vector for adaptive retrieval - coarse-to-fine search, storage cuts, MRL training and failure modes in 2026.

Hybrid Search Architecture: Dense + Sparse Fusion with RRF (2026)

By MPRAUTO MPRAUTO July 27, 2026AINo Comments

Hybrid search architecture explained: fusing BM25 sparse retrieval with dense vector search using Reciprocal Rank Fusion - indexing, scoring, rerankers, latency and failure modes for production RAG in 2026.

LLM Semantic Caching Architecture: Cut Inference Cost and Latency (2026)

By MPRAUTO MPRAUTO July 10, 2026AINo Comments

A semantic caching architecture for LLM apps: exact vs embedding-similarity cache tiers, thresholds, invalidation, eviction, and the cost/latency math behind GPTCache-class systems.

Embedding Models Benchmark: OpenAI, Cohere, Voyage, BGE

By MPRAUTO MPRAUTO June 27, 2026AINo Comments

A 2026 embedding models benchmark: OpenAI, Cohere, Voyage, and BGE on retrieval quality, dimensions, cost, and MTEB - with what changed for 2026.

Vector Search in CouchDB: Options & 2026 Alternatives

By mprcba June 18, 2026iiotNo Comments

Vector search in CouchDB in 2026: what is native vs not, integration patterns with dedicated vector databases, hybrid search, and when to migrate.