Pinpoint answers, cite sources, and banish hallucinations: BUZZ-powered RAG pipelines fuse retrieval precision with generative fluency to deliver decisions you can audit.
Hybrid semantic-&-symbolic search guarantees citable facts, not confident fiction.
Instant Knowledge Fusion
Mesh proprietary, public, and streaming feeds into a single context window.
Cost-Optimized Context
Dynamic chunk sizing + adaptive compression slash token spend up to 70 %.
End-to-End Methodology
01
Corpus Audit
Catalog docs, DBs, and APIs; score freshness & authority.
02
Ingestion & Chunking
Recursive split with metadata tags, adaptive to doc type.
03
Retrieval Orchestration
Rank by semantic similarity, recency, and business salience.
04
Prompt Engineering
Auto-generated context wrappers, guardrails, and citation templates.
05
Generation & Citation
Stream answers with inline references; fallback to search if confidence < τ.
06
Feedback Loop
Capture user votes + telemetry, fine-tune retriever & reranker weekly/monthly.
Adaptive Context Compressor
Our token-budgeting engine re-encodes low-salience chunks at lower precision while preserving high-salience passages verbatim—cutting context cost by up to 70 % with no accuracy loss.