Nelfet.
Grounded answers
Retrieval-Augmented Generation
LLM outputs grounded in your proprietary data — every answer traceable to a source, accurate as your corpus changes.
95%+
Grounded accuracy on labeled evaluation sets
100%
Answers traceable to a retrievable source
fresh
Reflects your corpus as content is updated
overview
RAG intercepts every query, retrieves the most relevant passages from your corpus, and constrains the model to answer only from that context.
We tune each pipeline stage — chunking, embedding, hybrid retrieval, re-ranking, grounding instructions — and validate against labeled queries from your actual content.
Accuracy is measured on labeled queries from your corpus. Citations are enforced at prompt level so answers are independently verifiable.
what we build
01
Domain-aware chunking preserving semantic coherence across tables and sections
02
Embedding selection and hybrid retrieval tuned for your domain and language
03
Query rewriting and multi-step retrieval for complex questions
04
Neural re-ranking to demote lexically similar but semantically mismatched passages
05
Enforced grounding with structured source citations in every response
how it works
From input to outcome.
- 01
Ingest and chunk
Documents parsed; passages sized to preserve semantic coherence.
- 02
Embed and index
Domain-tuned embeddings stored with metadata for filtered retrieval.
- 03
Retrieve and re-rank
Hybrid retrieval fetches candidates; re-ranker promotes relevant passages.
- 04
Ground and cite
Model answers only from retrieved context with structured source citations.
use cases
Common applications.
01
Internal knowledge assistants
Cited answers from HR, runbooks, and specs — always from current content.
02
Customer support deflection
Natural-language answers grounded in your docs, with source links.
03
Policy and regulatory compliance
Answers tied to exact policy text, current at time of query.
04
Sales and pre-sales enablement
Precise specs, comparisons, and pricing from current materials.
05
New-hire and contractor onboarding
Plain-language answers from handbooks and process docs.
IndustriesFinanceHealthcareLogistics & supply chain