★ 2 · Updated 2026-06-15
Self-improving memory layer enabling persistent context across sessions with hybrid search and entity linking
Browse skills that share this tag.
★ 2 · Updated 2026-06-15
Self-improving memory layer enabling persistent context across sessions with hybrid search and entity linking
★ 602 · Updated 2026-06-15
Build search applications with full-text, vector, semantic, and hybrid search capabilities
★ 2 · Updated 2026-05-28
Integrate AI capabilities into Stacks applications with multiple provider drivers
★ 1 · Updated 2026-05-28
AI/LLM integration with multiple providers, RAG, image generation, and personalization features
★ 2 · Updated 2026-05-28
Integrate AI capabilities into Stacks applications with multiple provider drivers, image generation, vision analysis, RAG, and personalization.
★ 620 · Updated 2026-05-28
Integrate AI capabilities into Stacks apps with multiple drivers, image generation, RAG, embeddings, and personalization features
★ 602 · Updated 2026-05-11
Build AI applications with plugins, planners, memory systems, and orchestration
★ 18 · Updated 2026-05-11
Implement semantic vector search with AgentDB for document retrieval and similarity matching
★ 2 · Updated 2026-03-26
Combine dense vector search and sparse keyword retrieval for improved RAG results
★ 6 · Updated 2026-03-19
Azure AI Search SDK for Python with vector, hybrid, semantic search capabilities
★ 602 · Updated 2026-03-19
Search local documents, files, notes, and knowledge bases with BM25/vector search and AI answers
★ 602 · Updated 2026-03-10
Implementation patterns for GraphRAG including hybrid search, Text2Cypher, and agentic retrieval with Neo4j