High-Throughput Regulatory & Compliance RAG Search Engine
A hybrid retrieval augmented generation search engine querying over 4,000,000 regulatory legal tokens with sub-second streaming responses, citation verification guardrails, and semantic query caching.
Identifying the Core Problem
Compliance officers and legal advisors spend hours cross-referencing multi-jurisdictional financial regulations. Standard search tools either miss semantic nuance (keyword only) or risk hallucinated clause citations (generic consumer LLMs).
How OXELVO Solved It
We designed a hybrid vector pipeline pairing dense semantic embeddings (Qdrant) with sparse BM25 keyword indices, combined via Reciprocal Rank Fusion (RRF). A cross-encoder reranking model scores the top candidate chunks before prompt assembly, guaranteeing accurate clause citations.
Key System Features
- Hybrid dense + BM25 sparse vector index with automated document diff synchronization
- Cross-encoder reranking layer filtering irrelevant legal clauses
- Redis semantic cache resolving repeated queries in under 15ms
- Clean search interface embeddable directly into client intranet portals
- Automated evaluation harness testing precision and recall against legal gold standards
Engineering Decisions & Guardrails
This project represents an active technical demonstration and architectural blueprint engineered by OXELVO. We share code blueprints, schemas, and live demonstrations to verify real-world feasibility before client commercialization.
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