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

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

© 2024 AI Bloks, LLC - Apache 2.0


AI BLOKS dba LLMWARE.AI

1297 East Putnam Avenue #1011

Riverside, CT 06878

It's time to join the thousands of developers and innovators on LLMWare.ai

© 2016-2023 VisionIQ - MIT License

It's time to join the thousands of developers and innovators on LLMWare.ai

© 2016-2023 VisionIQ - MIT License