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AI for Complex Enterprises
Pioneering AI Tools Built for Financial, Legal, Compliance, and Regulatory-Intensive Industries in Private Cloud
Small Specialized Language Models and
AI Framework specifically designed for SLMs
> pip install llmware
Python
Introducing LLMWare.ai
Our open source research efforts are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as building high-quality, automation-focused enterprise models available in Hugging Face.
LLMWare also provides a coherent, high-quality, integrated, and organized framework for development in an open system that provides the foundation for building LLM-applications for AI Agent workflows, Retrieval Augmented Generation (RAG) and other use cases, which include many of the core objects for developers to get started instantly.
Integrated Framework
Our LLM framework is built from the ground up to handle the complex needs of data-sensitive enterprise use cases.
Specialized Models
Use our pre-built specialized LLMs for your industry or we can customize and fine-tune an LLM for specific use cases and domains.
End-to-End Solution
From a robust, integrated AI framework to specialized models and implementation, we provide an end-to-end solution.
Trusted by developers at companies worldwide:
Supported Vector Databases
Integrate easily with the following vector databases for production-grade embedding capabilities.
We support: FAISS, Milvus, MongoDB Atlas, Pinecone, Postgres (PG Vector), Qdrant, Redis, Neo4j, LanceDB and Chroma.
Python
Introducing LLMWare.ai
Our open source research efforts are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as building high-quality, automation-focused enterprise models available in Hugging Face.
LLMWare also provides a coherent, high-quality, integrated, and organized framework for development in an open system that provides the foundation for building LLM-applications for AI Agent workflows, Retrieval Augmented Generation (RAG) and other use cases, which include many of the core objects for developers to get started instantly.
Integrated Framework
Our LLM framework is built from the ground up to handle the complex needs of data-sensitive enterprise use cases.
Specialized Models
Use our pre-built specialized LLMs for your industry or we can customize and fine-tune an LLM for specific use cases and domains.
End-to-End Solution
From a robust, integrated AI framework to specialized models and implementation, we provide an end-to-end solution.
Trusted by developers at companies worldwide:
Supported Vector Databases
Integrate easily with the following vector databases for production-grade embedding capabilities.
We support: FAISS, Milvus, MongoDB Atlas, Pinecone, Postgres (PG Vector), Qdrant, Redis, Neo4j, LanceDB and Chroma.
Introducing LLMWare.ai
Our open source research efforts are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as building high-quality, automation-focused enterprise models available in Hugging Face.
LLMWare also provides a coherent, high-quality, integrated, and organized framework for development in an open system that provides the foundation for building LLM-applications for AI Agent workflows, Retrieval Augmented Generation (RAG) and other use cases, which include many of the core objects for developers to get started instantly.
Integrated Framework
Our LLM framework is built from the ground up to handle the complex needs of data-sensitive enterprise use cases.
Specialized Models
Use our pre-built specialized LLMs for your industry or we can customize and fine-tune an LLM for specific use cases and domains.
End-to-End Solution
From a robust, integrated AI framework to specialized models and implementation, we provide an end-to-end solution.
Trusted by developers at companies worldwide:
Supported Vector Databases
Integrate easily with the following vector databases for production-grade embedding capabilities.
We support: FAISS, Milvus, MongoDB Atlas, Pinecone, Postgres (PG Vector), Qdrant, Redis, Neo4j, LanceDB and Chroma.
Python
Introducing LLMWare.ai
Our open source research efforts are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as building high-quality, automation-focused enterprise models available in Hugging Face.
LLMWare also provides a coherent, high-quality, integrated, and organized framework for development in an open system that provides the foundation for building LLM-applications for AI Agent workflows, Retrieval Augmented Generation (RAG) and other use cases, which include many of the core objects for developers to get started instantly.
Integrated Framework
Our LLM framework is built from the ground up to handle the complex needs of data-sensitive enterprise use cases.
Specialized Models
Use our pre-built specialized LLMs for your industry or we can customize and fine-tune an LLM for specific use cases and domains.
End-to-End Solution
From a robust, integrated AI framework to specialized models and implementation, we provide an end-to-end solution.
Trusted by developers at companies worldwide:
Supported Vector Databases
Integrate easily with the following vector databases for production-grade embedding capabilities.
We support: FAISS, Milvus, MongoDB Atlas, Pinecone, Postgres (PG Vector), Qdrant, Redis, Neo4j, LanceDB and Chroma.
It's time to join the thousands of developers and innovators on LLMWare.ai
It's time to join the thousands of developers and innovators on LLMWare.ai
It's time to join the thousands of developers and innovators on LLMWare.ai