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LOTUS - High Speed LLM Powered Document Processing & Data Query Engine

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LOTUS - High Speed LLM Powered Document Processing & Data Query Engine

lotus-data.github.ioSaved November 29, 20253 min

Python Library

Summary

LOTUS is an open-source Python query engine using LLMs and a Pandas-like API for fast document processing. It optimizes queries for up to 400x speedups and supports declarative AI pipelines for tasks like fact-checking and search ranking.

Highlights

Pandas-like API with LLM-powered semantic operators
Up to 400x performance optimization
Declarative multi-step AI pipeline support
State-of-the-art accuracy on classification tasks
Seamless integration with vector databases

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Preview of LOTUS - High Speed LLM Powered Document Processing & Data Query Engine

LOTUS Team at Stanford and Berkeley University · via LOTUS

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Audience

Data Scientists and Software Developers

DomainMachine Learning

Formatsoftware documentation

Accessopen source

Topics

Python Data Analytics Libraries Semantic Search & Ranking Document Processing Tools AI Query Engines LLM-Powered Data Processing

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PandasLarge Language ModelsSemantic SearchDocument ProcessingVector DatabasesFEVER Dataset

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LOTUS - High Speed LLM Powered Document Processing & Data Query Engine

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LOTUS - High Speed LLM Powered Document Processing & Data Query Engine

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LOTUS - High Speed LLM Powered Document Processing & Data Query Engine

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LOTUS - High Speed LLM Powered Document Processing & Data Query Engine

Summary

Highlights

Context

Topics

Related

Discover Similar Content

Parallel Web Systems | Enterprise Deep Research API

GitHub - joelhooks/pdf-library: Local PDF knowledge base with vector search using PGlite + pgvector

GitHub - google/langextract: A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.