🦉 Data Versioning and ML Experiments

Refine high-quality datasets and visual AI models

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents

Neo4j graph construction from unstructured data using LLMs

🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

Interact, analyze and structure massive text, image, embedding, audio and video datasets

A curated list of resources for Document Understanding (DU) topic

Interactively explore unstructured datasets from your dataframe.

Curate better data for LLMs

Visual Data Transformation with Python Code Generation. Low-Code Python-based ETL.

NucliaDB, The AI Search database for RAG

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

Embedding Studio is a framework which allows you transform your Vector Database into a feature-rich Search Engine.

python implementation of jordansissel's grok regular expression library

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

Enforce structured output from LLMs 100% of the time

Home of the AI workforce - Multi-agent system, AI agents & tools