using-vector-databases

SKILLWorkflowcommunity
v0.0.0ancolemanMITUpdated 8mo agoSource →

Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chun

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
508Repo stars
1Clients
1Formats
8mo agoLast update
Skill
Authorancoleman
Version0.0.0
LicenseMIT
CategoryWorkflow
Formatsskill.md
PromptOpen (see Prompt tab)
Compatibility
Claude✓ Supported
Cursor
Copilot
ChatGPT
Gemini
About

Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.

Keywords
skillclaude