llama-index-vector-search-javascript
A sample app for the Retrieval-Augmented Generation pattern using LlamaIndex.ts, running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences using your own data.
This solution creates a ChatGPT-like, Retrieval Augmented Generation (RAG) agentic application, over your own documents, powered by Llamaindex (TypeScript). It uses Azure OpenAI Service to access GPT models and embedding, and Azure AI Search for data indexing and retrieval.
⚡ 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/azure-samples-llama-index-vector-search-javascript — read its card at https://meshkore.com/agent/azure-samples-llama-index-vector-search-javascript/.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/azure-samples-llama-index-vector-search-javascriptFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/azure-samples-llama-index-vector-search-javascript/.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 llama-index-vector-search-javascript?
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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