Deliver precise, auditable answers and eliminate model
hallucinations with RedFort Technologies’ RAG pipelines,
combining retrieval accuracy with generative fluency to
power real-time, verifiable decision intelligence for your
enterprise.
Integrate proprietary, public, and streaming data sources
into a unified contextual framework for instantaneous,
high-fidelity responses.
Cost-Optimized Context
Dynamic chunk sizing and adaptive compression reduce token
expenditure by up to 70%, ensuring scalability without
performance trade-offs.
End-to-End Methodology
01
Corpus Audit
Catalog documents, databases, and APIs; assess
freshness and authority.
02
Ingestion & Chunking
Recursively segment data with metadata tagging
tailored to each document type.
03
Retrieval Orchestration
Rank context by semantic similarity, recency, and
business relevance.
04
Prompt Engineering
Auto-generate context wrappers, guardrails, and
citation-ready templates for consistency.
05
Generation & Citation
Stream fact-based responses with inline references,
reverting to retrieval when confidence thresholds
fall below τ.
06
Feedback Loop
Continuously refine retrievers and rerankers through
user feedback and telemetry-driven tuning.
Adaptive Context Compressor
RedFort’s token-budgeting engine dynamically re-encodes
low-salience data at reduced precision while preserving
critical passages verbatim, cutting context costs by up
to 70% with no measurable impact on answer accuracy.
Key Capabilities
Document Formats
PDF, HTML, Markdown, Office files, CAD, DICOM
Citations
MLA, APA, or JSON-L linked citation footnotes
Safety Filters
Integrated PII redaction, policy gating, and jailbreak
detection
