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LLMWare is an advanced AI development tool tailored for financial services, compliance, and other regulatory-intensive industries, offering deployment options in private cloud or local environments. It provides an innovative end-to-end solution for automating AI Agent workflows and Retrieval Augmented Generation (RAG) processes. The platform supports the development of specialized small language models (SLMs) and integrates seamlessly with a variety of vector databases including FAISS, Milvus, MongoDB Atlas, Pinecone, Postgres (PG Vector), Qdrant, Redis, Neo4j, LanceDB, and Chroma.
The core of LLMWare's offering is an open-source, integrated AI framework designed to meet the complex requirements of data-sensitive enterprise applications. This framework allows for the rapid development and deployment of AI solutions, featuring pre-built specialized language models that can be customized and fine-tuned for specific industry use cases.
LLMWare's comprehensive approach ensures that developers have access to a coherent, high-quality system that simplifies the creation of LLM-based applications. This includes providing essential tools and objects for immediate use, thus accelerating productivity and innovation in AI development.
Pricing
LLMWare offers three pricing plans:
- Open-Source: Free access to the base platform and over 50 models available on GitHub.
- Professional: Includes enterprise support, training, pipeline debugging, API layer, private model repository, advanced parsing, multistep process automation, file synchronization, audit reports, model finetuning, user management, connectors, and UI templates. Pricing is available upon request.
- Enterprise: All features in the Professional plan, plus custom model development, Kubernetes cluster deployments, custom finetuning, custom pipeline/workflow development, and custom dataset development. Pricing is available upon request.