eSapiens: A Platform for Secure and Auditable Retrieval-Augmented Generation

TL;DR

eSapiens is a secure, customizable platform that integrates various LLMs and retrieval techniques to provide businesses with controlled, auditable AI solutions for high-stakes domains, improving accuracy and trustworthiness.

Contribution

The paper introduces eSapiens, a comprehensive platform combining structured data ingestion, hybrid retrieval, and no-code orchestration supporting multiple LLMs for enterprise AI applications.

Findings

High retrieval precision with 512-token chunks (Top-3 accuracy: 91.3%)

Enhanced factual alignment in generated outputs (up to 23% improvement)

Effective in legal and finance domains for trustworthy AI workflows

Abstract

We present eSapiens, an AI-as-a-Service (AIaaS) platform engineered around a business-oriented trifecta: proprietary data, operational workflows, and any major agnostic Large Language Model (LLM). eSapiens gives businesses full control over their AI assets, keeping everything in-house for AI knowledge retention and data security. eSapiens AI Agents (Sapiens) empower your team by providing valuable insights and automating repetitive tasks, enabling them to focus on high-impact work and drive better business outcomes. The system integrates structured document ingestion, hybrid vector retrieval, and no-code orchestration via LangChain, and supports top LLMs including OpenAI, Claude, Gemini, and DeepSeek. A key component is the THOR Agent, which handles structured SQL-style queries and generates actionable insights over enterprise databases. To evaluate the system, we conduct two experiments. First, a retrieval benchmark on legal corpora reveals that a chunk size of 512 tokens yields the highest retrieval precision (Top-3 accuracy: 91.3%). Second, a generation quality test using TRACe metrics across five LLMs shows that eSapiens delivers more context-consistent outputs with up to a 23% improvement in factual alignment. These results demonstrate the effectiveness of eSapiens in enabling trustworthy, auditable AI workflows for high-stakes domains like legal and finance.