PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

A code repository indexing tool to supercharge your LLM experience.

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚

Harnessing the Memory Power of the Camelids

[CVPR 2024] Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension

Piazza-Updater automates updates to a Weaviate database with real-time vectorial data. By continuously searching the internet and integrating with Verba repositories, it enhances retrieval-augmented generation (RAG) capabilities, keeping your applications informed and responsive.

The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)

Synthesizing realistic and diverse text-datasets from augmented LLMs

Client-side retrieval firewall for RAG systems — blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment.

Diverse Demonstrations Improve In-context Compositional Generalization

[CCL 2023] Revisiting k-NN for Fine-tuning Pre-trained Language Models

When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection - LDK 2025

Este projeto é um sistema baseado em RAG (Retrieval-Augmented Generation) para notícias financeiras.

The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW'24, Short)