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Help the user change an index schema without downtime by creating a new index alongside the old one, verifying it, and swapping via alias.\n\n## Workflow\n\n### Step 1: Understand the current state\n\n1. Use `redis_ft_info` on the existing index to get:\n   - Current schema (field names, types, sortable flags)\n   - Number of indexed documents\n   - Index size\n   - Any existing aliases (`redis_ft_aliasadd` \u002F `redis_ft_aliasdel`)\n\n2. 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Wait for indexing to complete -- check `redis_ft_info` until `percent_indexed` is 1.0\n\n### Step 4: Validate the new index\n\nRun the same test queries against both indexes to compare:\n\n1. Use `redis_ft_search` on both old and new indexes with representative queries\n2. Use `redis_ft_profile` on both to compare execution time\n3. Check `redis_ft_info` on the new index: document count should match the old one\n\nPresent a comparison:\n\n| Query | Old Index | New Index | Notes |\n|-------|-----------|-----------|-------|\n| result count | | | Should match |\n| timing (ms) | | | |\n| top results | | | Check relevance |\n\n### Step 5: Swap the alias\n\nIf the user is satisfied with the new index:\n\n1. If an alias exists: `redis_ft_aliasupdate` to point the alias to the new index\n2. If no alias exists: `redis_ft_aliasadd` to create one pointing to the new index\n\nThe alias swap is atomic -- queries using the alias will immediately use the new index.\n\n### Step 6: Clean up\n\n1. 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Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing\u002Fcleaning up Redis key naming.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[711,712,715,716],{"name":681,"slug":682,"type":15},{"name":713,"slug":714,"type":15},"Data Modeling","data-modeling",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-05-27T07:19:41.317954",{"slug":719,"name":719,"fn":720,"description":721,"org":722,"tags":723,"stars":671,"repoUrl":672,"updatedAt":735},"redis-observability","monitor and triage Redis performance","Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops\u002Fsec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO, MEMORY DOCTOR, CLIENT LIST, FT.PROFILE), and when to use the Redis Insight GUI. Use when setting up monitoring or alerts for a Redis instance, diagnosing a performance regression, profiling a slow FT.SEARCH query, or wiring Redis metrics into Prometheus, Datadog, or similar.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[724,727,730,733,734],{"name":725,"slug":726,"type":15},"Debugging","debugging",{"name":728,"slug":729,"type":15},"Monitoring","monitoring",{"name":731,"slug":732,"type":15},"Observability","observability",{"name":688,"slug":689,"type":15},{"name":9,"slug":8,"type":15},"2026-05-27T07:19:47.780873",{"slug":737,"name":737,"fn":738,"description":739,"org":740,"tags":741,"stars":671,"repoUrl":672,"updatedAt":749},"redis-search","implement Redis Search indexing and queries","Redis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH \u002F FT.AGGREGATE \u002F FT.HYBRID command selection, vector similarity with HNSW or FLAT, hybrid retrieval combining lexical and vector ranking, RAG pipelines, zero-downtime index updates via aliases, and debugging with FT.PROFILE and FT.EXPLAIN. Use when defining a search index on Hash or JSON documents, writing FT.SEARCH queries with filters, sorting, aggregation, or vector KNN, tuning HNSW parameters, building a RAG retrieval pipeline, or troubleshooting slow or empty search results.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[742,743,744,747,748],{"name":681,"slug":682,"type":15},{"name":13,"slug":14,"type":15},{"name":745,"slug":746,"type":15},"Engineering","engineering",{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},"2026-06-24T07:39:43.089819",{"slug":751,"name":751,"fn":752,"description":753,"org":754,"tags":755,"stars":671,"repoUrl":672,"updatedAt":769},"redis-security","secure Redis instances and clusters","Redis security guidance covering authentication (requirepass and ACL users), TLS, ACL-based least-privilege access control, restricting network exposure via bind and protected-mode, firewall rules, and disabling dangerous commands. Use when deploying Redis to production, defining ACL users for an application, configuring TLS connections, locking down a Redis instance behind a firewall, or auditing a Redis deployment for security hardening.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[756,759,762,765,766],{"name":757,"slug":758,"type":15},"Access Control","access-control",{"name":760,"slug":761,"type":15},"Authentication","authentication",{"name":763,"slug":764,"type":15},"Compliance","compliance",{"name":9,"slug":8,"type":15},{"name":767,"slug":768,"type":15},"Security","security","2026-05-27T07:19:40.030241",{"slug":771,"name":771,"fn":772,"description":773,"org":774,"tags":775,"stars":671,"repoUrl":672,"updatedAt":783},"redis-semantic-cache","implement semantic caching with Redis","Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search\u002Fset via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI \u002F Anthropic \u002F etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[776,777,778,781,782],{"name":662,"slug":663,"type":15},{"name":700,"slug":701,"type":15},{"name":779,"slug":780,"type":15},"LLM","llm",{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},"2026-05-27T07:19:43.897283",{"slug":785,"name":785,"fn":786,"description":787,"org":788,"tags":789,"stars":796,"repoUrl":797,"updatedAt":798},"agent-filesystem","manage persistent storage in Redis","Use when agents need persistent shared storage, when saving or restoring workspace state, or when coordinating file access across multiple agents and machines. Creates Redis-backed workspaces, checkpoints and restores agent state, mounts shared filesystems locally, searches workspace contents, and forks workspaces for parallel work.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[790,791,794,795],{"name":659,"slug":660,"type":15},{"name":792,"slug":793,"type":15},"File Storage","file-storage",{"name":668,"slug":669,"type":15},{"name":9,"slug":8,"type":15},22,"https:\u002F\u002Fgithub.com\u002Fredis\u002Fagent-filesystem","2026-04-10T04:51:05.904489",{"slug":800,"name":800,"fn":801,"description":802,"org":803,"tags":804,"stars":796,"repoUrl":797,"updatedAt":811},"codex-settings-sync","sync Codex settings across computers","Use when the user wants to migrate Codex state in ~\u002F.codex into Agent Filesystem and mount the same shared Codex memory\u002Fsettings across multiple computers. Recommends a .afsignore before migration and defaults to excluding worktrees, caches, logs, and temporary files.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[805,808,809,810],{"name":806,"slug":807,"type":15},"Codex","codex",{"name":668,"slug":669,"type":15},{"name":17,"slug":18,"type":15},{"name":9,"slug":8,"type":15},"2026-04-10T04:51:07.268248",{"slug":813,"name":813,"fn":814,"description":815,"org":816,"tags":817,"stars":23,"repoUrl":24,"updatedAt":826},"cloud-database-provisioning","provision Redis Cloud databases","Provision a Redis Cloud database end-to-end — Essentials (fixed plan) or Pro (custom) — using Redis Cloud MCP tools",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[818,821,822,825],{"name":819,"slug":820,"type":15},"Cloud","cloud",{"name":13,"slug":14,"type":15},{"name":823,"slug":824,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-06-03T07:53:00.906753",{"slug":828,"name":828,"fn":829,"description":830,"org":831,"tags":832,"stars":23,"repoUrl":24,"updatedAt":839},"compare-approaches","prototype Redis data model alternatives","Prototype and compare 2-3 Redis data model alternatives for the same workload",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[833,834,835,838],{"name":713,"slug":714,"type":15},{"name":13,"slug":14,"type":15},{"name":836,"slug":837,"type":15},"Prototyping","prototyping",{"name":9,"slug":8,"type":15},"2026-05-27T07:19:55.591944",27,{"items":842,"total":919},[843,850,857,870,881,894,908],{"slug":813,"name":813,"fn":814,"description":815,"org":844,"tags":845,"stars":23,"repoUrl":24,"updatedAt":826},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[846,847,848,849],{"name":819,"slug":820,"type":15},{"name":13,"slug":14,"type":15},{"name":823,"slug":824,"type":15},{"name":9,"slug":8,"type":15},{"slug":828,"name":828,"fn":829,"description":830,"org":851,"tags":852,"stars":23,"repoUrl":24,"updatedAt":839},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[853,854,855,856],{"name":713,"slug":714,"type":15},{"name":13,"slug":14,"type":15},{"name":836,"slug":837,"type":15},{"name":9,"slug":8,"type":15},{"slug":858,"name":858,"fn":859,"description":860,"org":861,"tags":862,"stars":23,"repoUrl":24,"updatedAt":869},"data-explorer","explore and profile Redis datasets","Profile and explore a Redis dataset - key types, sizes, TTLs, encodings, and sample values",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[863,866,867,868],{"name":864,"slug":865,"type":15},"Data Analysis","data-analysis",{"name":13,"slug":14,"type":15},{"name":731,"slug":732,"type":15},{"name":9,"slug":8,"type":15},"2026-05-28T07:09:52.268662",{"slug":871,"name":871,"fn":872,"description":873,"org":874,"tags":875,"stars":23,"repoUrl":24,"updatedAt":880},"data-modeling-advisor","design Redis data models","Recommend Redis data structures and patterns for a given workload before committing to an approach",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[876,877,878,879],{"name":681,"slug":682,"type":15},{"name":713,"slug":714,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-05-28T07:09:51.028825",{"slug":882,"name":882,"fn":883,"description":884,"org":885,"tags":886,"stars":23,"repoUrl":24,"updatedAt":893},"enterprise-health-check","perform Redis Enterprise cluster health checks","Comprehensive pre-operation health check for a Redis Enterprise cluster — verify cluster state, node health, license status, and active alerts before making changes",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[887,888,889,892],{"name":13,"slug":14,"type":15},{"name":731,"slug":732,"type":15},{"name":890,"slug":891,"type":15},"Operations","operations",{"name":9,"slug":8,"type":15},"2026-06-03T07:52:59.693017",{"slug":895,"name":895,"fn":896,"description":897,"org":898,"tags":899,"stars":23,"repoUrl":24,"updatedAt":907},"index-ab-test","compare RediSearch index configurations","Create and compare multiple RediSearch index configurations to find the best one",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[900,903,904,905,906],{"name":901,"slug":902,"type":15},"A\u002FB Testing","a-b-testing",{"name":13,"slug":14,"type":15},{"name":688,"slug":689,"type":15},{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},"2026-05-28T07:09:53.54884",{"slug":909,"name":909,"fn":910,"description":911,"org":912,"tags":913,"stars":23,"repoUrl":24,"updatedAt":918},"index-advisor","recommend RediSearch index schemas","Analyze a Redis dataset and recommend an optimal RediSearch index schema",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[914,915,916,917],{"name":713,"slug":714,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},"2026-05-28T07:09:48.520606",17]