Internal Support Assistant RAG
Your Knowledge, Instantly Accessible.
ISA-RAG transforms your internal documentation into an intelligent assistant. Ask questions in natural language and get precise, cited answers — all within your own infrastructure.
Natural Language Document Intelligence
Upload PDFs, technical manuals, regulatory documents and internal policies. ISA-RAG processes, indexes and makes them queryable in natural language — just like asking an expert colleague.
Total Data Sovereignty
Your documents, queries and responses never leave your infrastructure. Compatible with classified, regulated and sensitive data environments.
Multiple LLM Providers
Google, Anthropic, OpenAI and OpenSource LLM (switchable). Choose the model that fits your security and performance needs.
Auditable Citations
Every AI response includes direct references to the exact document, page and paragraph of the source — full traceability for compliance.
Microservices Architecture
Containerized services deployed via Docker. Scalable, maintainable and ready for physical servers, VMs or private cloud.
Fields of Application
ISA-RAG is designed for organizations that handle sensitive documentation and cannot rely on third-party cloud AI solutions.
Defense & Security
Instant access to technical manuals, operational protocols and classified documentation. Zero third-party data exposure.
Legal
Semantic search across case law, contracts, regulations and legal filings. Answers cite exact document and section.
Healthcare
Query clinical protocols, medical guidelines and regulatory docs. Compliant with patient data privacy requirements.
Government
Internal support for officials querying legislation, procedures and resolutions. Citizen-facing assistance grounded in current regulations.
How It Works
Upload
Upload PDFs, manuals, policies and any internal documentation through the admin console.
Processing & Indexing
Documents are parsed, chunked and converted into semantic vector embeddings.
Ask & Get Cited Answers
Users ask questions in natural language and instantly receive precise responses with direct references to the source document and page.