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More adjustments; laying groundwork

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More adjustments; laying groundwork
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Silentoplayz
2024-12-18 14:44:08 -05:00
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title: "🔎 Retrieval Augmented Generation (RAG)"
---
Retrieval Augmented Generation (RAG) is a a cutting-edge technology that enhances the conversational capabilities of chatbots by incorporating context from diverse sources. It works by retrieving relevant information from a wide range of sources such as local and remote documents, web content, and even multimedia sources like YouTube videos. The retrieved text is then combined with a predefined RAG template and prefixed to the user's prompt, providing a more informed and contextually relevant response.
Retrieval Augmented Generation (RAG) is a cutting-edge technology that enhances the conversational capabilities of chatbots by incorporating context from diverse sources. It works by retrieving relevant information from a wide range of sources such as local and remote documents, web content, and even multimedia sources like YouTube videos. The retrieved text is then combined with a predefined RAG template and prefixed to the user's prompt, providing a more informed and contextually relevant response.
One of the key advantages of RAG is its ability to access and integrate information from a variety of sources, making it an ideal solution for complex conversational scenarios. For instance, when a user asks a question related to a specific document or web page, RAG can retrieve and incorporate the relevant information from that source into the chat response. RAG can also retrieve and incorporate information from multimedia sources like YouTube videos. By analyzing the transcripts or captions of these videos, RAG can extract relevant information and incorporate it into the chat response.
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Local documents must first be uploaded via the Documents section of the Workspace area to access them using the `#` symbol before a query. Click on the formatted URL in the that appears above the chat box. Once selected, a document icon appears above `Send a message`, indicating successful retrieval.
You can also load documents into the workspace area with their access by starting a prompt with `#`, followed by a URL. This can help incorporate web content directly into your conversations.
## Web Search for RAG
For web content integration, start a query in a chat with `#`, followed by the target URL. Click on the formatted URL in the box that appears above the chat box. Once selected, a document icon appears above `Send a message`, indicating successful retrieval. Open WebUI fetches and parses information from the URL if it can.