{
  "id": "use_cases",
  "title": "Use Cases",
  "url": "https://redis.io/docs/latest/develop/ai/redisvl/user_guide/use_cases/",
  "summary": "",
  "tags": [],
  "last_updated": "2026-05-06T11:49:45+02:00",
  "children": [],
  "page_type": "content",
  "content_hash": "e86366c699463f6bf868ff6abb6aaad011e7f17b81fa40007e4488566988d355",
  "sections": [
    {
      "id": "content",
      "title": "Content",
      "role": "content",
      "text": "RedisVL powers a wide range of AI applications. Here's how to apply its features to common use cases.\n\n<div class=\"grid grid-cols-1 md:grid-cols-2 gap-4 my-6\">\n<div class=\"p-5 border border-redis-pen-300 rounded-lg\"><h3 class=\"mt-0 mb-2\">🧠 Agent Context</h3><p>Provide agents with the right information at the right time.</p>\n<ul>\n<li><strong>RAG</strong> — Retrieval-Augmented Generation with <a href=\"../getting_started/\">vector search</a> and <a href=\"../how_to_guides/advanced_queries/\">hybrid queries</a></li>\n<li><strong>Memory</strong> — Persistent <a href=\"../how_to_guides/message_history/\">message history</a> across sessions</li>\n<li><strong>Context Engineering</strong> — Combine <a href=\"../how_to_guides/complex_filtering/\">filtering</a>, <a href=\"../how_to_guides/rerankers/\">reranking</a>, and <a href=\"../how_to_guides/vectorizers/\">embeddings</a> to curate the optimal context window</li>\n</ul></div>\n<div class=\"p-5 border border-redis-pen-300 rounded-lg\"><h3 class=\"mt-0 mb-2\">⚡ Agent Optimization</h3><p>Reduce latency and cost for AI workloads.</p>\n<ul>\n<li><strong>Semantic Caching</strong> — Cache LLM responses by meaning with <a href=\"../how_to_guides/llmcache/\">SemanticCache</a></li>\n<li><strong>Embeddings Caching</strong> — Avoid redundant embedding calls with <a href=\"../how_to_guides/embeddings_cache/\">EmbeddingsCache</a></li>\n<li><strong>Semantic Routing</strong> — Route queries to the right handler with <a href=\"../how_to_guides/semantic_router/\">SemanticRouter</a></li>\n</ul></div>\n<div class=\"p-5 border border-redis-pen-300 rounded-lg\"><h3 class=\"mt-0 mb-2\">🔍 General Search</h3><p>Build search experiences that understand meaning, not just keywords.</p>\n<ul>\n<li><strong>Semantic Search</strong> — <a href=\"../getting_started/\">Vector queries</a> with <a href=\"../how_to_guides/complex_filtering/\">complex filtering</a></li>\n<li><strong>Hybrid Search</strong> — Combine keyword and vector search with <a href=\"../how_to_guides/advanced_queries/\">advanced query types</a></li>\n<li><strong>SQL Translation</strong> — Use familiar SQL syntax with <a href=\"../how_to_guides/sql_to_redis_queries/\">SQLQuery</a></li>\n</ul></div>\n<div class=\"p-5 border border-redis-pen-300 rounded-lg\"><h3 class=\"mt-0 mb-2\">🎯 Personalization & RecSys</h3><p>Drive engagement with personalized recommendations.</p>\n<ul>\n<li><strong>User Similarity</strong> — Find similar users or items using <a href=\"../getting_started/\">vector search</a></li>\n<li><strong>Real-Time Ranking</strong> — Combine vector similarity with <a href=\"../how_to_guides/complex_filtering/\">metadata filtering</a> and <a href=\"../how_to_guides/rerankers/\">reranking</a></li>\n<li><strong>Multi-Signal Matching</strong> — Search across multiple embedding fields with <a href=\"../how_to_guides/advanced_queries/\">MultiVectorQuery</a></li>\n</ul></div>\n</div>"
    }
  ],
  "examples": []
}