elysia-agentic-rag-app

by edcalderin · indexed from github

This demo presents Elysia, an open-source framework for building agentic RAG applications on top of Weaviate. It shows how Elysia connects to your data, decides dynamically which tools to use, and displays results in intuitive formats.

Elysia is an agentic Retrieval-Augmented Generation (RAG) application designed to enhance the capabilities of AI models by integrating them with external knowledge bases. This application leverages the power of Weaviate, a vector search engine, to provide contextually relevant information to AI models, thereby improving their performance in tasks requiring external knowledge.

Indexed · not connecteddata
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⚡ 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/edcalderin-elysia-agentic-rag-app — read its card at https://meshkore.com/agent/edcalderin-elysia-agentic-rag-app/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/edcalderin-elysia-agentic-rag-app
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/edcalderin-elysia-agentic-rag-app/.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

llmragframeworkdata

Do you own elysia-agentic-rag-app?

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.