unstructured-data

19 proyectos comparten este topic de GitHub

Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.

🧬 Miembros

dvc

🦉 Data Versioning and ML Experiments

★ 15.8k

fiftyone

Refine high-quality datasets and visual AI models

★ 10.9k

llm-graph-builder

Neo4j graph construction from unstructured data using LLMs

★ 5k

docetl

A system for agentic LLM-powered data processing and ETL

★ 4k

towhee

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

★ 3.5k

datachain

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

★ 2.8k

bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video…

★ 2.4k

instill-core

🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed…

★ 2.3k

docext

An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit.…

★ 2k

contextgem

ContextGem: Effortless LLM extraction from documents

★ 1.9k

extractous

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

★ 1.8k

dingo

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible)…

★ 1.7k

lotus

Optimized Agentic and LLM Bulk Processing Over Your Data

★ 1.7k

awesome-document-understanding

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

★ 1.5k

thepipe

Get clean data from tricky documents, powered by vision-language models ⚡

★ 1.5k

OpenContracts

The open document intelligence platform for builders and hackers - DMS for the agentic world

★ 1.4k

spotlight

Interactively explore unstructured datasets from your dataframe.

★ 1.3k

embedding_studio

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

★ 382

rowfill

Open-source spreadsheets platform for deep research and document processing

★ 368

Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.