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Tag: RAG

Creating a front-end for your Mistral RAG

Functionality Technology

Creating a front-end for your Mistral RAG

May 22, 2024 / May 22, 2024 by [email protected]

In a previous article we showed how you can set up a Retrievel Augmented Generation (RAG) framework for the Mistral-7B-v.02 Instruct LLM using the UbiOps WebApp. In this article we’ll go a step further and create a front-end for that set-up using Streamlit, and we’ll be using the UbiOps Python Client Library to set-up the […]

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Tagged

llmmistralRAG
How to build a RAG query engine with LlamaIndex and UbiOps

Technology UbiOps

How to build a RAG query engine with LlamaIndex and UbiOps

April 18, 2024 / April 18, 2024 by [email protected]

Large Language Models (LLMs) are trained on vast datasets with data sourced from the public internet. But these datasets of course do not include specific datapoints regarding your business or use case. Retrieval-Augmented Generation (RAG) addresses this by dynamically incorporating your data as context in a prompt to your LLM. This way there is no […]

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Tagged

llamaindexRAG
Implementing RAG for your LLM (Mistral)

Functionality Technology

Implementing RAG for your LLM (Mistral)

January 30, 2024 / February 20, 2024 by [email protected]

Most of the open-source models available on Huggingface come pre-trained on a large corpus of publicly available data, like WebText. In general, the size of these datasets give large language models (LLMs) an adequate performance for various use cases. For some, more specific, use cases, however, more domain specific knowledge is required for the LLM […]

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Tagged

llmmistralRAG
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