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.
A curated list of retrieval-augmented generation (RAG) in large language models
an intro to retrieval augmented large language model
Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚
Harnessing the Memory Power of the Camelids
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.
[CVPR 2024] Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
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.
rudradb-opin-examples is for example implementations of the pip install rudradb-opin
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.
Node.js example to convert XML emails into a RAG source using OpenAI embeddings.
Document Q/A Application, Wants to query research papers tons of them ?? why not ask the data itself. Let Workdesk AI do the harder part. and let you do the research
Add a description, image, and links to the retrieval-augmented topic page so that developers can more easily learn about it.
To associate your repository with the retrieval-augmented topic, visit your repo's landing page and select "manage topics."