#Unstructured-data
Showing 28 of 28 repositories tagged #unstructured-data, ranked by stars
🦉 Data Versioning and ML Experiments
Refine high-quality datasets and visual AI models
Neo4j graph construction from unstructured data using LLMs
A system for agentic LLM-powered data processing and ETL
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
🔮 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
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)
ContextGem: Effortless LLM extraction from documents
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Optimized Agentic and LLM Bulk Processing Over Your Data
A curated list of resources for Document Understanding (DU) topic
The open document intelligence platform for builders and hackers - DMS for the agentic world
visual data prep powered by python
Interactively explore unstructured datasets from your dataframe.
Curate better data for LLMs
NucliaDB, The AI Search database for RAG
Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?"
Open-source spreadsheets platform for deep research and document processing
Home of the AI workforce - Multi-agent system, AI agents & tools
Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.
AI-powered synthetic data generation — structured tables, unstructured documents, multi-provider LLM support, referential integrity, and code-gen mode for millions of rows
Dynamic Kernel Matching (DKM) for Classifying Data with Non-conforming Features
🧬 Narrative text visualization for unstructured data.
A Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and uses Cognos Dashboard Embedded to explore and visualize the results in Watson Studio
⚗️ Instill Model contains components for AI model orchestration
Analyze and generate unstructured data using LLMs, from quick experiments to billion token jobs.