“👑 The King RAGent Meet your new open-source research assistant that combines document processing and web search for comprehensive answers. Powered by LangChain’s RAG patterns, it features PDF handling, Streamlit UI, and a developer-friendly dry run mode for testing. Discover
https://x.com/LangChainAI/status/1876010792115462433
Build production-ready RAG apps in minutes – Writer
“Excited to introduce VideoRAG📽️, which extends the current landscape of RAG systems (that largely focus on text) by holistically leveraging the video corpus, utilizing both textual and visual features. Paper:
https://x.com/jinheonbaek/status/1878716577950150724
“AutoRAG is a framework for picking the optimal configuration for your RAG pipelines, introduced in this paper. For LlamaIndex users, this is particularly interesting because it systematically evaluates different RAG techniques and components that you might be using or
https://x.com/llama_index/status/1878881368186454161
“🔍 Can video provide richer context than text for RAG? VideoRAG uses video to provide more accurate answers! Unlike current systems that only use text, VideoRAG taps into the wealth of knowledge in video form 🎥 1/5
https://x.com/fdaudens/status/1878825816433565962
[2501.05874] VideoRAG: Retrieval-Augmented Generation over Video Corpus
https://arxiv.org/abs/2501.05874
“Can we fine-tune both LLM and the retriever in a RAG setup? Yes, with Retrieval-Augmented Dual Instruction Tuning (RA-DIT) method, you can enhance overall response quality. RA-DIT includes 2 steps: • LLM fine-tuning: With a query, context, and ground-truth label, the LLM is
https://x.com/TheTuringPost/status/1880021894054985922
“What’s Agentic RAG? Let’s explore how @huggingface’s variant of Agentic RAG works. Its idea is to transform users’ queries into retrieval-friendly statements, critique and retry retrieval, making the system more autonomous and accurate. So the workflow of Agentic RAG includes:
https://x.com/TheTuringPost/status/1878590804325011727
“Today, we’re excited to announce the general availability of the Contextual AI Platform. This is the first enterprise platform designed for building specialized RAG agents to support expert knowledge work. What is a specialized RAG agent? First, a general-purpose AI agent is one
https://x.com/ContextualAI/status/1879563224192077993
“17/ @LangChainAI launched The King RAGent: an OSS research assistant that combines document processing + web search for comprehensive answers. It features PDF handling, Streamlit UI, and a developer-friendly dry run mode for testing.
https://x.com/AtomSilverman/status/1877844403152200158
“VideoRAG A framework that enhances RAG by leveraging video content as an external knowledge source. Unlike existing RAG approaches that primarily focus on text or images, VideoRAG dynamically retrieves relevant videos based on queries and incorporates both their visual and
https://x.com/omarsar0/status/1878827350315659421
“Just recently we discussed the importance of Multimodal RAG approach on the example of systems that can retrieve image info. (You can read about it here
https://x.com/TheTuringPost/status/1878932305177453037
