vector-databases
✓Use when "vector database", "embedding storage", "similarity search", "semantic search", "Chroma", "ChromaDB", "FAISS", "Qdrant", "RAG retrieval", "k-NN search", "vector index", "HNSW", "IVF"
Installation
SKILL.md
Store and search embeddings for RAG, semantic search, and similarity applications.
| Database | Best For | Filtering | Scale | Managed Option |
| Chroma | Local dev, prototyping | Yes | < 1M | No | | FAISS | Max speed, GPU, batch | No | Billions | No | | Qdrant | Production, hybrid search | Yes | Millions | Yes | | Pinecone | Fully managed | Yes | Billions | Yes (only) | | Weaviate | Hybrid search, GraphQL | Yes | Millions | Yes |
Use when "vector database", "embedding storage", "similarity search", "semantic search", "Chroma", "ChromaDB", "FAISS", "Qdrant", "RAG retrieval", "k-NN search", "vector index", "HNSW", "IVF" Source: eyadsibai/ltk.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/eyadsibai/ltk --skill vector-databases- Source
- eyadsibai/ltk
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-17
- Updated
- 2026-02-18
Quick answers
What is vector-databases?
Use when "vector database", "embedding storage", "similarity search", "semantic search", "Chroma", "ChromaDB", "FAISS", "Qdrant", "RAG retrieval", "k-NN search", "vector index", "HNSW", "IVF" Source: eyadsibai/ltk.
How do I install vector-databases?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/eyadsibai/ltk --skill vector-databases Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/eyadsibai/ltk
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-17