![FLUX.1 [dev] Medium shot. A camel is dressed in a mechanics overalls. A rag hangs out of its back pocket. On the front pocket the word "RAG" is stamped in white ink. The background is stack of books. In the foreground, a llama stands looking into the camera.](https://ethanbholland.com/wp-content/uploads/2024/09/rag.png)
FLUX.1 [dev] Medium shot. A camel is dressed in a mechanics overalls. A rag hangs out of its back pocket. On the front pocket the word “RAG” is stamped in white ink. The background is stack of books. In the foreground, a llama stands looking into the camera.
RAG Me Up is a generic framework (server + UIs) that enables you do to RAG on your own dataset easily. Its essence is a small and lightweight server and a couple of ways to run UIs to communicate with the server (or write your own).
“1/ @CamelAIOrg introduces GraphRAG for better retrieval accuracy with a tech stack involving @MistralAI, @neo4j, @qdrant_engine, and @UnstructuredIO. Congrats @KaimingH71371 + team!
“9/ @cohere introduces the Tool Use Module, extending RAG with tool use for complex task automation. Great work @MeorAmer1 and @maximevoisin_ai
“We are excited to be introducing Prompt Tuner in beta today. It is a tool to optimize prompts right in our Dashboard. It uses a customizable optimization and evaluation loop to refine prompts for generative language use cases.”
“Join us for Agent Build Day in San Francisco, co-hosted with @AgentOpsAI and supported by @crewAIInc. Build an agent demo, connect with founders and engineers, and learn from hands-on workshops run by seasoned agent builders. The top demo will win Cohere API credits! Join us
“14/ @cohere will be hosting Agent Build Day in SF on Aug 12 with @AgentOpsAI and @crewAIInc. If you’re interested in connecting with exports, register and secure your spot for a chance to win Cohere API credits! Spots are filling up fast.
“Today we’re introducing a new way to build agents as event-driven systems 🤖🚨 We’ve launched workflows, a way of defining event-driven orchestration that will soon be the default way we handle all LLM orchestration in @llama_index – build simple-to-complex RAG pipelines,
“🚀 GraphRAG: Boost Retrieval Accuracy and RAG Performance! Check out the diagram and tech stack below to see how this works. 🔹@CamelAIOrg: A multi-agent system framework that facilitates the workflow and provides agents such as Knowledge Graph Agent and Chat Agent.
“Cohere is now part of GitHub Models, offering our state-of-the-art language models to over 100 million developers on @GitHub. Models such as Command R+ can be accessed through the @Azure AI Studio directly to the GitHub Marketplace.” / X
“💪RAG Me Up RAG Me Up is a generic framework (server + UIs) that enables you do to RAG on your own dataset easily. Its essence is a small and lightweight server and a couple of ways to run UIs to communicate with the server (or write your own).https://www.marktechpost.com/2024/06/01/rag-me-up-a-generic-ai-framework-server-uis-that-enables-you-to-do-rag-on-your-own-dataset-easily/
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