Senzing AWS performance testing project.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Run Graph Queries with Lance

Multimodal document parser for high quality data understanding and extraction

Python Data Validation for Humans™.

LadybugDB a graph database

Data model and processing tools for investigative entity data

Shared library intended to support building pipelines to produce beneficial ownership statements (BODS) data.

The Beneficial Ownership Data Standard (BODS) is an open standard providing a specification for modelling and publishing information on the beneficial ownership and control of corporate vehicles

Vald. A Highly Scalable Distributed Vector Search Engine

Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Prototype record matching database.

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

A lightweight Python package to work with ngrams and skipgrams

Performance centered DSPy rewrite to(not port) Rust

Transform geospatial relations into graph representations designed for spatial network analysis and Graph Neural Networks (GNNs).

Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.

A gRPC server of the https://github.com/senzing-garage/sz-sdk-proto protocol

(Linear-chain) Conditional random field in PyTorch.

Dot access dictionary with dynamic hierarchy creation and ordered iteration

simple Python script to run the smallest version of Google Gemma3 (270M) model.

Summit AI Mapping Class

Paraconsistent Abductive Learning