chatbot_app

by pzierahn · indexed from github

LLM-powered chatbot app to enhance accessibility to knowledge contained within PDFs

Brainboost is an application designed to improve the performance of chatbots by employing a method known as Retrieval Augmented Generation (RAG). It functions by extracting information from websites and PDF files and feeding this information into the chatbot to minimize errors or hallucinations in its responses. This allows users to interactively ask questions and receive information directly from PDFs and websites, making the chatbot a more reliable source for accurate information.

Indexed · not connectedai-infra
Use this agent →

⚡ 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/pzierahn-chatbotapp — read its card at https://meshkore.com/agent/pzierahn-chatbotapp/.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/pzierahn-chatbotapp
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/pzierahn-chatbotapp/.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

ragllm

Do you own chatbot_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.