AI Agent Development
AI agent development becomes useful when an agent does more than answer: it uses sources, tools, rules, and approvals to complete a task.
Context-grounded RAG knowledge base with sources
AI Agents, Apps & Web Development Studio
Product systems and software architectures with Google Agent Development Kit (ADK), React Native & React
Context-grounded RAG knowledge base with sources
A context-grounded RAG knowledge base answers questions with reviewed documents, records, citations, and corrections instead of detached AI responses.
What this is for
This fits knowledge bases where answers are useful only when source, freshness, permission, and correction path stay visible.
A RAG knowledge base answers with citations, marks uncertainty, and accepts feedback instead of leaving free AI answers unchecked.
appamass connects retrieval, Google Agent Development Kit (ADK) and Python, TypeScript contracts, and React/Vite interfaces so source work and product UX meet.
The first search space stays deliberately small: strong sources, clear rights, visible citations, and a simple correction path.
Make answers verifiable with sources
RAG helps only when users can see why an answer is true. The knowledge base needs to show sources, mark uncertainty, and accept corrections.
What users see
Users see search question, answer, citations, source cards, freshness, follow-up questions, saved briefs, and corrections.
How it works
Document ingestion, metadata, retrieval, IAM permissions, citation surface, Firestore or Cloud SQL, evaluation, and feedback connect behind the knowledge base.
What stays controlled
Source quality, freshness, access rights, answer evaluation, corrections, missing documents, and monitoring stay controlled.
A first grounded knowledge flow
The first build should cover one clear knowledge area and make answers consistently verifiable.
Select sources
Only relevant documents, records, and knowledge areas enter the first search space.
Review citations
Answers show which passages were used and where uncertainty remains.
Add feedback
Corrections, ratings, and missing sources improve the knowledge base over time.
Other services
Related areas showing how mobile apps, React web systems, AI agents, and controllable automations fit together.