Artificial Intelligence

RAG &
Knowledge Assistants

Turn your documents, wikis and data into an assistant that answers accurately with citations. Grounded in your knowledge, it stops the guessing and starts giving trustworthy answers

RAG &
Key Features

Answers grounded in your knowledge, with receipts

Grounded in your data
Grounded in your data

Retrieval augmented generation over your docs, wikis and databases

Cited answers
Cited answers

Every response links to its source so users can verify

Always current
Always current

Connects to live sources so answers update as your content does

Access aware
Access aware

Respects permissions so people only see what they are allowed to

Benefits

Stop searching. Start knowing

Your team and customers get the right answer in seconds not a 20 tab search

Instant answers
Instant answers

Find the right information across thousands of documents in seconds

Fewer hallucinations
Fewer hallucinations

Grounding and citations keep answers accurate and trustworthy

Less repetitive support
Less repetitive support

Deflect common questions with a self serve knowledge assistant

Use Cases

Where orchestration shines

Internal knowledge base
Internal knowledge base

Let staff ask your policies, docs and runbooks in plain language

Customer self service
Customer self service

Qualify inbound leads, answer product questions, book meetings and update your CRM automatically day or night

Research & compliance
Research & compliance

Query contracts, regulations and reports with cited answers

Why Tecneural

RAG done right accurate and secure

Retrieval expertise

Chunking, embeddings and reranking tuned for accuracy

Permission aware

Row level access so nothing leaks

Your data stays yours

Self hostable vector stores and models

Monitored quality

Evals catch drift and bad answers early

Sitting on knowledge no one can find?

Point us at your docs we'll build an assistant that answers with citations