retrieval-augmented

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.

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.

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