A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Repository Index
77,852 visible repositories in the index
1–11 of 11 · Most stars
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
- deep-learning
- document-parsing
- machine-learning
- nlp
Neo4j graph construction from unstructured data using LLMs
- data-import
- genai
- graph
- graph-rag
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
- gpt-3
- knowledge-graph
Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
🔮 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
- unstructured-data
- low-code
- developer-tools
- etl
Extract structured data and insights from documents using LLMs and decision models
- ai
- data-extraction
- document-intelligence
- generative-ai
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)
- document
- document-analysis
- extraction
- llms
Nomic Developer API SDK
- python
- clustering
- duplicate-detection
- embeddings
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
- extraction
- tika
- unstructured