Introducing New Embedding Models
Explore the latest new embedding models; leverage improved accuracy and reduced costs for your machine learning applications.
Read MoreExplore the latest new embedding models; leverage improved accuracy and reduced costs for your machine learning applications.
Read MoreChat with your documents securely using LocalGPT, an open-source project supporting various models, embeddings, and formats. Requires Python 3.10+, C++ compiler, and optional CUDA or Docker for GPU inference.
Read MorePrivateGPT: A private and offline project using Large Language Models for document-based queries, featuring a FastAPI-based API with high-level and low-level functionalities for document ingestion, chat, completions, and contextual chunks retrieval. Includes RAG pipeline and extensive documentation for installation, configuration, usage, and deployment, with a GitHub repository for contributions and citation information.
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