NVIDIA cuDF

NVIDIA RAPIDS' GPU-accelerated library for vector search and clustering, providing CUDA-optimized implementations of HNSW, IVF, CAGRA, and PQ, enabling billion-scale search on GPU hardware.

GPU-accelerated platform from VAST Data that includes a native vector database, designed for enterprise AI workloads including multi-agent systems, video-reasoning, and high-volume RAG. It combines vector embeddings with structured data and metadata in unified tables, enabling hybrid queries across modalities without orchestration layers or external indexes.

GPU-accelerated server from VAST Data that combines the VAST AI OS with NVIDIA data-processing libraries and onboard NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. Designed for enterprise AI workloads requiring high-throughput vector search, data vectorization, and inference, it leverages the NVIDIA AI Data Platform reference design.

Rust OCR engine for scientific documents, extracting text and mathematical equations to LaTeX, MathML, or plain text. Supports batch processing, content detection for equations/tables/diagrams, confidence scoring, and PDF support. Includes TypeScript client (@ruvector/scipix) and CLI (scipix-cli).

Open-source tool by VectifyAI for pagewise document indexing that converts PDF pages into image representations for downstream multimodal embedding and retrieval. Designed to support late-interaction-based retrieval approaches like ColPali by preserving original document layout and visual structure.

A distributed data processing framework for vector data operations, providing lightweight parallel processing capabilities for embedding pipelines and data preparation workflows.