Search

Message Extensions

Message extensions let users search external systems or trigger actions directly from the Teams compose box, message context menu, or link previews.

Navigating SharePoint

A practical guide to SharePoint's navigation elements — the app launcher, site navigation, search, and the Quick Edit and list views users rely on daily.

Prolog and AI Search Algorithms

See how classic AI search strategies, depth-first, breadth-first, and best-first, map onto Prolog's own backtracking engine and how to implement them explicitl…

Schemas and Namespaces

How PostgreSQL uses schemas as namespaces within a database to organize objects, control search_path resolution, and isolate multi-tenant or multi-team data.

Elasticsearch vs Other Search Engines

How Elasticsearch compares to Apache Solr, OpenSearch, Algolia, and database-native search like PostgreSQL full-text search.

Full-Text Search Relevance and Scoring: TF-IDF & BM25

How Elasticsearch computes the _score for full-text matches, from the classic TF-IDF intuition to the BM25 algorithm used by default today.

What Is Elasticsearch?

An introduction to Elasticsearch as a distributed search and analytics engine, why it exists, and the core concepts that make full-text search fast at scale.

Binary Search in C

Learn binary search in C with syntax, a step-by-step explanation, working code, output, and O(log n) complexity analysis.

Binary Search

The classic O(log n) algorithm for finding a target in a sorted array using repeated halving, with correct boundary handling.

Binary Search Trees

A binary tree variant that maintains an ordering invariant, enabling fast search, insert, and delete operations.

Hyperparameter Tuning

Explore systematic strategies — grid search, random search, and cross-validation-based tuning — for choosing model settings that are not learned directly from…

Vector Databases for AI Cheat Sheet

Explains embeddings, approximate nearest neighbor search, and indexing strategies like HNSW, with code for storing and querying vectors using common libraries.

Full-Text Search Cheat Sheet

Covers building full-text search with database-native features like Postgres tsvector and dedicated engines like Elasticsearch, including ranking and indexing.

RAG (Retrieval-Augmented Generation) Cheat Sheet

Design retrieval-augmented pipelines covering chunking strategies, hybrid search, reranking, and evaluation of grounded LLM answers.