PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

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

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

A collection of resources on multimodal knowledge graph, including datasets, papers and contests.

Knowledge Extraction For Forms Accelerators & Examples

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

qKnow is an open-source knowledge platform built around Knowledge Graphs, offering capabilities for knowledge extraction, knowledge fusion, graph construction, and visualization. It helps enterprises and organizations build structured, queryable, and inferable knowledge systems.

[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.

A Paper List of Low-resource Information Extraction

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

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 (unstructured text) and its graph, we use contrastive learning to impose relation-related structure on the token level representations of the sentence obtained with a CharacterBERT (El Boukkouri et al., 2020) model. The resulting relation-aware sentence embeddings achieve state-of-the-art results on the relation extraction task using only a simple KNN classifier, thereby demonstrating the success of the proposed method. Additional visualization by a tSNE analysis shows the effectiveness of the learned representation space compared to baselines. Furthermore, we show that we can learn a different space for named entity recognition, again using a contrastive learning objective, and demonstrate how to successfully combine both representation spaces in an entity-relation task.

Advanced Semantics for Commonsense Knowledge Extraction (WWW 2021)

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.

General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems

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.

Data Science & Machine Learning Project applied to Healthcare

📚 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

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

Fuzzy Rule Interpolation-based Reinforcement Learning

MLOne Powered by AIEdX. Machine Learning Course for Everyone. Tier1 Basic

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

Offline LLM Summary & Intelligence Extraction From Long Transcripts Using GPT4ALL

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

Python webapp for rapid extraction and analysis of YouTube content, enabling users to gain insights from videos and playlists without spending hours watching them.

End-to-end Knowledge Extraction engine. It extracts knowledge from free text and shows the knowledge in Neo4j. It extracts entities and the relationship between entities, even different expressions of the same entity is in different sentences of the text.

🔍 Automate digital footprint analysis with DeepSearch, using advanced Google search operators to gather insights from multiple platforms efficiently.

Data mining course project

Explainable Scientific Research Assistant - Information Extraction Part

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