Write down the part people usually wave away.

Technical guides and working frameworks for the decisions that sit underneath dependable AI: representation, retrieval, context, applicability, and operations.

Start with the core ideas.

Canonical author and publisher links.

ArticleApr 2026

Pinecone Assistant: A Managed Knowledge Layer

The gap between getting a model to answer and getting an application to answer consistently, accurately, and at scale.

By Roie Schwaber-Cohen.

  • Assistant
  • Managed knowledge
  • Production
SeriesMar 2026

Beyond Retrieval

A framework for making applicability constraints explicit before a system retrieves and generates an answer.

By Roie Schwaber-Cohen.

  • Applicability
  • RAG
  • Knowledge architecture
Technical guideJun 2025

Chunking Strategies for LLM Applications

A practical framework for choosing chunk size and structure based on the data, the embedding model, and the job the retrieved context must do.

By Roie Schwaber-Cohen and Arjun Patel.

  • Chunking
  • Embeddings
  • RAG
Technical articleSep 2024

Vectors and Graphs: Better Together

How semantic similarity and explicit relationships answer different questions—and become more useful when combined.

By Roie Schwaber-Cohen.

  • Vectors
  • Graphs
  • GraphRAG
Foundational explainerMay 2026

What Is a Vector Database?

A durable, widely used guide to vector databases, approximate nearest-neighbor search, filtering, and the systems that make semantic retrieval work.

By Roie Schwaber-Cohen; originally published in 2023 and updated in 2026.

  • Vector databases
  • ANN
  • Semantic search
Technical explainerSep 2022

RBAC, ABAC, and ReBAC

A practical comparison of role-, attribute-, and relationship-based authorization models and the situations each one is designed to handle.

By Roie Schwaber-Cohen.

  • Authorization
  • RBAC
  • ReBAC