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FEATURE ARTICLE: LLMWare Launches RAG-Specialized 7B Parameter LLMs: Production-Grade Fine-Tuned Models for Enterprise Workflows Involving Complex Business Documents

Development Framework for Retrieval Augmented Generation (RAG)

Cohesive, integrated, open source

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Introducing LLMWare

LLMWare is coherent, high-quality, integrated, organized in an open system that provides the foundation for building LLM-applications, which include many of the core objects for developers to get started instantly.

INTERACTIONS: composable patterns of Queries + Prompts
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“By enabling businesses to build custom LLM-based applications with their private documents in just a few lines of code, LLMWare simplifies the development process and reduces time-to-value.”

ts2-logo-small-1Michael Rogucki

 

“LLMWare’s emergence in the market signifies a pivotal moment for enterprise AI. It streamlines LLM-based application development, making it accessible and scalable for businesses.”

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Foundational Capabilities for Every Project

Works out of the box. Just copy and paste the sample code to start building.

A Library that Connects to Your Data

Parsing – Automated, accurate, high-performance document parsers. Integrated OCR capability to process embedded images in PDFs.

Embeddings – Encode your data with state-of-the-art models; pick the right one for your data.

Graph - Visual representation of connections and linked concepts of your data across a library.

DataSets - Package library data into one of 16+ out-of-the-box datasets for model training.

Generative AI with Your Choice of LLMs

Model Catalog, Classes & Repo – Select from catalog of popular open-source models to work with. Manage models through a framework that abstracts the complexities and allows you to swap between models easily.

Audit & Analytics – Out-the-box-connectors to  popular open model such as OpenAI, Google, Anthropic, and Facebook. 

Audit & Analytics – Automatically capture, track, and evaluate AI output results, based on evidence, and multi-faceted error checking, with common support across all models.

pip install llmware in minutes

Install llmware and start building llm-based apps in just a few minutes

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