knowledge-extraction

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

Any source (PDF, video, web, audio, text) to interactive learning package with quizzes, flashcards and spaced repetition. One command, 12-section study guide.

Interact with the Deep Search platform for new knowledge explorations and discoveries

A knowledge extraction tool that uses a large language model to extract semantic information from text

📚 AI-Powered Book EPUB Knowledge Extractor & Summarizer Transform your PDF books into structured knowledge effortlessly! This tool leverages AI to analyze books page by page, extracting key insights, definitions, and concepts, and organizes them into Markdown summaries for easier study

Though language model text embeddings have revolutionized NLP research, their ability to capture high-level semantic information, such as relations between entities in text, is limited. In this paper, we propose a novel contrastive learning framework that trains sentence embeddings to encode the relations in a graph structure. Given a sentence (…

GenAI Mind Map Flow Builder uses LLMs (OpenAI & Google Gemini) to generate intelligent mind maps from diverse sources like PDFs, SQL, CSVs, media, and websites. Built with FastAPI and ReactJS, it visualizes key ideas and relationships for data analysis and knowledge discovery.

Advanced Semantics for Commonsense Knowledge Extraction (WWW 2021)

Stateful AI Agent for Knowledge Extraction

[KDD 2020] This is the code repository for our KDD'20 paper STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.

Refined Commonsense Knowledge from Large-Scale Web Contents (TKDE 2022)

Offline LLM Summary & Intelligence Extraction From Long Transcripts Using GPT4ALL

Turn any bibliography — one book or decades of an author's books and courses — into an audited, provenance-tracked doctrine an LLM can reason from

Turn untrusted source material into compact, attributed AI skills through evidence gates and deterministic safety checks.

A tool for automating CIDOC CRM knowledge graph population using Large Language Models (LLMs), with a focus on RDF triple extraction from archaeological datasets.

Cognitive extraction system that transforms raw content into structured knowledge. 40 AI agents, 24 quality gates, Obsidian-native.

WikiCausal: Corpus and Task for Evaluation of Causal Knowledge Graph Construction

Extract and distill knowledge from a folder of PDF books into AI-optimized markdown (Docling + a pluggable LLM CLI; single-pass, map-reduce, and outline-driven per-chapter modes).

Link to insight - AI distillation from any URL