Full-text query
Defines the full-text query concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Full-text query pattern, Search & Indexing full-text query, Full-text query implementation
- AI prompt
Implement production-ready Full-text query for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Term query
Defines the term query concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Term query pattern, Search & Indexing term query, Term query implementation
- AI prompt
Implement production-ready Term query for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Boolean query
Defines the boolean query concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Boolean query pattern, Search & Indexing boolean query, Boolean query implementation
- AI prompt
Implement production-ready Boolean query for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Phrase query
Defines the phrase query concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Phrase query pattern, Search & Indexing phrase query, Phrase query implementation
- AI prompt
Implement production-ready Phrase query for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Prefix query
Defines the prefix query concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Prefix query pattern, Search & Indexing prefix query, Prefix query implementation
- AI prompt
Implement production-ready Prefix query for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Fuzzy query
Defines the fuzzy query concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Fuzzy query pattern, Search & Indexing fuzzy query, Fuzzy query implementation
- AI prompt
Implement production-ready Fuzzy query for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Wildcard query
Defines the wildcard query concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Wildcard query pattern, Search & Indexing wildcard query, Wildcard query implementation
- AI prompt
Implement production-ready Wildcard query for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Range query
Defines the range query concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Range query pattern, Search & Indexing range query, Range query implementation
- AI prompt
Implement production-ready Range query for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Filter context
Defines the filter context concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Filter context pattern, Search & Indexing filter context, Filter context implementation
- AI prompt
Implement production-ready Filter context for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Query context
Defines the query context concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Query context pattern, Search & Indexing query context, Query context implementation
- AI prompt
Implement production-ready Query context for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Relevance score
Defines the relevance score concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Relevance score pattern, Search & Indexing relevance score, Relevance score implementation
- AI prompt
Implement production-ready Relevance score for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
BM25
Defines the bM25 concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- BM25 pattern, Search & Indexing bm25, BM25 implementation
- AI prompt
Implement production-ready BM25 for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Field boosting
Defines the field boosting concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Field boosting pattern, Search & Indexing field boosting, Field boosting implementation
- AI prompt
Implement production-ready Field boosting for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Function score
Defines the function score concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Function score pattern, Search & Indexing function score, Function score implementation
- AI prompt
Implement production-ready Function score for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Recency boost
Defines the recency boost concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Recency boost pattern, Search & Indexing recency boost, Recency boost implementation
- AI prompt
Implement production-ready Recency boost for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Faceted search
Defines the faceted search concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Faceted search pattern, Search & Indexing faceted search, Faceted search implementation
- AI prompt
Implement production-ready Faceted search for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Aggregation
Defines the aggregation concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Aggregation pattern, Search & Indexing aggregation, Aggregation implementation
- AI prompt
Implement production-ready Aggregation for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Highlighting
Defines the highlighting concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Highlighting pattern, Search & Indexing highlighting, Highlighting implementation
- AI prompt
Implement production-ready Highlighting for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Autocomplete
Defines the autocomplete concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Autocomplete pattern, Search & Indexing autocomplete, Autocomplete implementation
- AI prompt
Implement production-ready Autocomplete for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Search suggestion
Defines the search suggestion concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Search suggestion pattern, Search & Indexing search suggestion, Search suggestion implementation
- AI prompt
Implement production-ready Search suggestion for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Did-you-mean
Defines the did-you-mean concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Did-you-mean pattern, Search & Indexing did-you-mean, Did-you-mean implementation
- AI prompt
Implement production-ready Did-you-mean for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Query parsing
Defines the query parsing concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Query parsing pattern, Search & Indexing query parsing, Query parsing implementation
- AI prompt
Implement production-ready Query parsing for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Query expansion
Defines the query expansion concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Query expansion pattern, Search & Indexing query expansion, Query expansion implementation
- AI prompt
Implement production-ready Query expansion for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Hybrid search
Defines the hybrid search concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Hybrid search pattern, Search & Indexing hybrid search, Hybrid search implementation
- AI prompt
Implement production-ready Hybrid search for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Vector search
Defines the vector search concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Vector search pattern, Search & Indexing vector search, Vector search implementation
- AI prompt
Implement production-ready Vector search for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Semantic search
Defines the semantic search concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Semantic search pattern, Search & Indexing semantic search, Semantic search implementation
- AI prompt
Implement production-ready Semantic search for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Nearest-neighbor search
Defines the nearest-neighbor search concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Nearest-neighbor search pattern, Search & Indexing nearest-neighbor search, Nearest-neighbor search implementation
- AI prompt
Implement production-ready Nearest-neighbor search for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.
Reranking
Defines the reranking concept used in search & indexing systems, with its contract, lifecycle, failure behavior, and operational boundaries.
- Also known as
- Reranking pattern, Search & Indexing reranking, Reranking implementation
- AI prompt
Implement production-ready Reranking for a backend system. Define the contract, validation, authorization, lifecycle, failure behavior, observability, concurrency and idempotency rules, performance limits, tests, rollout plan, and framework-neutral examples.