Skills tagged "vector-database"

AgentDB Memory Patterns - Persistent memory patterns for AI agents using AgentDB.
agentdb vector-database memory-patterns context-management
★ 602 · Updated 2026-09-20
Implements persistent session memory, long-term storage, pattern learning, and context retrieval for AI agents using AgentDB.
⚙ Initialize vector database ⚙ Start MCP server ⚙ Create learning plugin
AgentDB Memory Patterns - Persistent memory patterns for AI agents using AgentDB.
agent-memory agentdb vector-database reasoningbank
★ 0 · Updated 2026-09-20
Implement persistent memory patterns for AI agents using AgentDB, including session memory, long-term storage, pattern learning, and context management.
⚙ Initialize AgentDB database ⚙ Store session and fact memories ⚙ Retrieve context with reasoning
qdrant-model-migration - Guide embedding model migration in Qdrant without downtime
qdrant vector-database embedding-migration alias-swap
★ 2 · Updated 2026-09-16
Provides strategies and procedures for migrating embedding models and re-indexing vector collections in Qdrant.
⚙ Guide zero downtime alias swap ⚙ Guide side-by-side model testing ⚙ Guide dense to hybrid migration
managing-weaviate - Monitor and analyze Weaviate vector database instances
weaviate vector-database database-management schema-inspection
★ 6 · Updated 2026-09-15
Inspect schema configurations, node health, shard distribution, and backup status for Weaviate vector database instances.
⚙ Check node health and version ⚙ Inspect schema classes and configurations ⚙ Analyze class properties and indexes
rag-architect - Design, tune, and evaluate production RAG pipelines
rag retrieval chunking embedding
★ 1 · Updated 2026-09-15
Design RAG pipelines, optimize chunking strategies, select embedding models and vector databases, and evaluate retrieval quality metrics.
⚙ Analyze corpus chunking strategies ⚙ Design RAG pipeline configurations ⚙ Evaluate retrieval quality metrics
qdrant-vertical-scaling - Guide for Qdrant vertical scaling and node sizing
qdrant vertical-scaling vector-database capacity-planning
★ 2 · Updated 2026-09-14
Guides decisions, resource sizing, and procedures for scaling Qdrant nodes vertically by increasing CPU, RAM, or disk.
⚙ Guide Qdrant vertical scaling decisions ⚙ Estimate vector RAM sizing requirements ⚙ Perform node resource configuration resizing
weaviate-cookbooks - Blueprints for building Weaviate-powered AI applications
weaviate rag agents vector-database
★ 0 · Updated 2026-09-14
Provides implementation guides and blueprints for building Weaviate-powered RAG, agentic RAG, data exploration, and multimodal applications.
⚙ Guide basic and advanced RAG setup ⚙ Build agentic RAG and AI agents ⚙ Guide multimodal document search architecture
weaviate-cookbooks - Official blueprints for building Weaviate AI applications.
weaviate rag agents vector-database
★ 0 · Updated 2026-09-14
Build Weaviate AI applications from official cookbook blueprints for RAG, agentic RAG, data exploration, multimodal search, async clients, and frontends.
⚙ Build query agent chatbots ⚙ Build data explorer applications ⚙ Build multimodal document search
weaviate-cookbooks - Weaviate AI Application Cookbooks
weaviate rag agents vector-database
★ 0 · Updated 2026-09-14
Blueprints for building Weaviate AI apps including RAG, agentic RAG, data exploration, multimodal search, async clients, and frontends.
⚙ Build query agent chatbots ⚙ Build data explorer apps ⚙ Build multimodal RAG systems
weaviate-cookbooks - Build Weaviate AI apps using official cookbooks.
weaviate rag agents vector-database
★ 0 · Updated 2026-09-13
Provides guides and blueprints for building Weaviate AI applications, including RAG, agentic RAG, data exploration, async client, and Next.js frontends.
⚙ Build Weaviate RAG applications ⚙ Develop tool calling AI agents ⚙ Create data explorer applications
qdrant-tenant-scaling - Qdrant Multi-Tenant Scaling Guide
qdrant vector-database multi-tenancy scaling
★ 2 · Updated 2026-09-12
Guides Qdrant multi-tenant scaling strategies based on tenant count, data distribution, and isolation requirements.
⚙ Guide payload partitioning strategy ⚙ Guide custom sharding deployment ⚙ Guide tiered multitenancy architecture
ReasoningBank with AgentDB - Implement adaptive learning for AI agents using AgentDB.
agentdb reasoningbank adaptive-learning vector-database
★ 0 · Updated 2026-09-10
Implements adaptive learning for AI agents using AgentDB vector database backend for trajectory tracking and pattern recognition.
⚙ Track agent trajectories ⚙ Record actions and outcomes ⚙ Finalize task trajectories
similarity-search-patterns - Patterns for implementing efficient similarity search.
similarity-search vector-database semantic-search rag
★ 509 · Updated 2026-09-10
Implement efficient similarity search with vector databases, semantic search, nearest neighbor queries, and optimized retrieval performance.
⚙ Build semantic search systems ⚙ Implement RAG retrieval ⚙ Create recommendation engines
upstash/vector TypeScript SDK Skil - Guide for Upstash Vector TypeScript SDK and features.
vector-database typescript upstash sdk
★ 69 · Updated 2026-09-09
Provides quick-start guidance and reference entries for Upstash Vector features, TypeScript SDK usage, and integrations.
⚙ Connect to Vector instance ⚙ Upsert vectors ⚙ Query vectors
rag-architect - Architect for RAG, vector search, and retrieval systems
rag vector-database semantic-search embeddings
★ 602 · Updated 2026-09-09
Designs production-grade RAG systems, vector database schemas, document chunking, hybrid search pipelines, and retrieval evaluation frameworks.
⚙ Design vector database schemas ⚙ Design document chunking strategies ⚙ Implement hybrid search pipelines
vector-databases - Vector Databases for Embedding Storage and Semantic Search
vector-database embedding semantic-search rag
★ 7 · Updated 2026-02-15
Store and search embeddings for RAG, semantic search, and similarity applications.
⚙ store embeddings ⚙ search embeddings ⚙ compare vector database options
rag-implementation - Build RAG Systems for LLM Applications
rag retrieval-augmented-generation vector-database semantic-search
★ 509 · Updated 2026-02-15
Build Retrieval-Augmented Generation systems for LLM applications with vector databases and semantic search
⚙ build Q&A systems ⚙ create chatbots ⚙ implement semantic search
agentuity-cli-cloud-vector-delete - Delete vectors from cloud vector database
destructive deletes-resource slow requires-auth
★ 0 · Updated 2026-02-13
Delete one or more vectors by key from cloud vector database
⚙ delete vectors by key
cloudflare-vectorize - Cloudflare Vectorize V2 Implementation Guide for Semantic Search and RAG
vector-database semantic-search rag cloudflare
★ 1,018 · Updated 2026-02-09
Build semantic search and RAG applications with Cloudflare Vectorize V2 vector database
⚙ create vector indexes ⚙ configure index settings ⚙ insert vectors