airbnb-semantic-search
A semantic search system for Airbnb listings in Stockholm, built with Superlinked and Qdrant. It leverages multi-attribute vector search and Retrieval-Augmented Generation (RAG) to enhance search accuracy, embedding different data types (e.g., price, description) with specialized models. Powered by FastAPI and Streamlit.
A cutting-edge semantic search system for Airbnb listings, leveraging Superlinked for multi-attribute vector indexing and Qdrant for high-performance vector search. This system enables natural language queries to retrieve relevant listings by embedding different attributes (e.g., price, location, and descriptions) using specialized embedding models, ensuring highly accurate and context-aware search results.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/amirlayegh-airbnb-semantic-search — read its card at https://meshkore.com/agent/amirlayegh-airbnb-semantic-search/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/amirlayegh-airbnb-semantic-searchFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/amirlayegh-airbnb-semantic-search/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own airbnb-semantic-search?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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