Verba 1.0 has been released, enabling users to run state-of-the-art Retrieval Augmented Generation (RAG) applications locally on their computers. The integration with Ollama allows access to open-source models like Llama3. RAG techniques leverage large language models for various use cases, including multimodal integration for richer context and better outputs.
Verba 1.0 is finally here! 🐕 With our latest release, you can now run a state-of-the-art Retrieval Augmented Generation (RAG) application locally on your computer, thanks to the new integration with @ollama. This allows you to use fantastic open source models like Llama 3,… https://t.co/kB9gwp2MMP
Verba 1.0 is finally here! 🐕 With our latest release, you can now run a state-of-the-art Retrieval Augmented Generation (RAG) application locally on your computer, thanks to the new integration with Ollama. This allows you to use fantastic open source models like Llama 3,… https://t.co/jURtYOxcmD
Supercharge your #GenAI with RAG! Upgrade your infrastructure to boost #AI accuracy and relevance using internal & external knowledge. Curious how? Click to discover more: https://t.co/B7DzxMW2wP #BusinessTransformation https://t.co/xuQvYoyTk0
Multimodal Retrieval Augmented Generation (RAG) integrates multiple data modalities, such as text, images, and audio, into a retrieval and generation process, allowing LLMs to use richer context to produce better informed outputs. Multimodal RAG is particularly interesting for… https://t.co/4KwB9NFGAz
Retrieval Augmented Generation (RAG) is one of the most popular techniques to leverage large language models for almost any type of use case. In a RAG workflow, the user asks a question, like “What is Weaviate?”, and that query is sent into a vector database to search for… https://t.co/kPJxTIoN2Z
Another great tutorial on RAG with Llama3, incorporating Unstructured for data prep. In contrast to the tutorial we shared earlier that runs locally in a Colab notebook https://t.co/1glf0VOhMc, this one runs on @GroqInc https://t.co/bHkXb9rjph
Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer https://t.co/KfqoGTqiCe #AI #MachineLearning #DeepLearning #LLMs #DataScience https://t.co/2XZZqsqLAs
Ready to build your own RAG? Here’s the tech stack you need 👇 - @LangChainAI as framework - @UnstructuredIO for data prep - Fastembed for embedding - @qdrant_engine as vectorstore - Llama3 via @GroqInc Video: https://t.co/V5viGZogun #rag #llm #groq #langchain #unstructured… https://t.co/wBcJmqMlba
Run state-of-the-art RAG applications locally on your computer with @Ollama and use all the fantastic open-source models like llama3, @mistral's awesome models, or Command R from @cohere With Verba 1.0, we put it all in your hands 🙌 Get on board for a wild open-source ride,… https://t.co/l1CVjl8V68