Ravish kumar
0@ravishonlive • Full Stack Developer
code Functions
Docs Q&A Bot (deployed)
content
RAG-powered Q&A over your documentation with citations. Ingest docs via /ingest, ask questions via /chat, search semantically via /search.
Docs Q&A Bot (fork)
ai
RAG-powered Q&A over your documentation with citations. Ingest docs via /ingest, ask questions via /chat, search semantically via /search.
Docs Q&A Bot (deployed)
content
RAG-powered Q&A over your documentation with citations. Ingest docs via /ingest, ask questions via /chat, search semantically via /search.
Customer Support Bot (deployed)
customer-support
Deflect support tickets with AI-powered answers, confidence scoring, and escalation signals. Returns should_escalate: true when confidence is low so you can route to a human agent.
Customer Support Bot (deployed)
customer-support
Deflect support tickets with AI-powered answers, confidence scoring, and escalation signals. Returns should_escalate: true when confidence is low so you can route to a human agent.
Customer Support Bot (deployed)
customer-support
Deflect support tickets with AI-powered answers, confidence scoring, and escalation signals. Returns should_escalate: true when confidence is low so you can route to a human agent.
Content Moderator (deployed)
ai
AI content moderation with configurable rules. Classify text as safe/unsafe, detect categories (spam, hate, nsfw), cache decisions for repeat content.
Recommendation Engine (deployed)
ecommerce
Personalized recommendations with user history tracking. Ingest your catalog, log interactions, get AI-ranked recommendations with explanations.
aerostack-hub-test
utilities
A comprehensive testing utility function for publishing messages to the Aerostack hub.
sample deploy function
ai
This function acts as a lightweight API gateway for a customer support bot built on Aerostack. It handles incoming HTTP requests, manages routing for health checks, document ingestion, retrieval, and deletion, and forwards these requests to underlying RAG (Retrieval-Augmented Generation) services. It also injects required platform headers for authentication and ensures proper CORS handling, enabling seamless integration with frontend apps and external clients.
Docs Q&A Bot (deployed)
content
RAG-powered Q&A over your documentation with citations. Ingest docs via /ingest, ask questions via /chat, search semantically via /search.
Customer Support Bot (deployed)
customer-support
Deflect support tickets with AI-powered answers, confidence scoring, and escalation signals. Returns should_escalate: true when confidence is low so you can route to a human agent.
mcp-test-notes-api
database
Notes API with database creation and CRUD