Aerostack
R

Ravish kumar

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@ravishonlive • Full Stack Developer

Functions 13
MCP Servers 0
Skills 0

code Functions

code

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.

code

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.

code

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.

code

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.

code

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.

code

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.

code

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.

code

Recommendation Engine (deployed)

ecommerce

Personalized recommendations with user history tracking. Ingest your catalog, log interactions, get AI-ranked recommendations with explanations.

code

aerostack-hub-test

utilities

A comprehensive testing utility function for publishing messages to the Aerostack hub.

code

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.

code

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.

code

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.

code

mcp-test-notes-api

database

Notes API with database creation and CRUD