LexiTest
Para empresas y estudiantes asta 200pdf
What it does
LexiTest is a high-speed RAG infrastructure designed for massive data silos. While most tools fail with large volumes, LexiTest processes 200+ PDFs simultaneously with absolute precision.Built on Multi-LLM Orchestration, the system cross-checks every answer using several AI models to eliminate hallucinations.Bulk Processing: Index hundreds of files in seconds.Truth-Centric: Logical verification layer.Built for efficiency.
Does the same job
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I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…
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When building workflows that rely on LLMs, we commonly use structured output for programmatic use cases like converting an invoice into rows or meeting transcripts into tickets or even complex PDFs into database entries. The model may return the schema you want, but with hallucinated values like `invoice_date` being off by 2 months or the transcript array ordered wrongly. The JSON is valid, but the values are not. Structured output today is a big part of using LLMs, especially when building deterministic workflows. Current structured output benchmarks (e.g., JSONSchemaBench) only validate…
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