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Added 0.17.0 release notes (#5608)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
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@ -3,7 +3,7 @@ sidebar_position: 3
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slug: /embed_agent_into_webpage
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---
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# Embed agent into a webpage
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# Embed agent into webpage
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You can use iframe to embed an agent into a third-party webpage.
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@ -3,7 +3,11 @@ sidebar_position: 2
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slug: /general_purpose_chatbot
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---
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# Create a general-purpose chatbot
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# Create chatbot
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Create a general-purpose chatbot.
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---
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Chatbot is one of the most common AI scenarios. However, effectively understanding user queries and responding appropriately remains a challenge. RAGFlow's general-purpose chatbot agent is our attempt to tackle this longstanding issue.
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@ -3,10 +3,10 @@ sidebar_position: 2
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slug: /accelerate_question_answering
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---
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# Accelerate question answering
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# Accelerate answering
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import APITable from '@site/src/components/APITable';
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A checklist to speed up document parsing and question answering.
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A checklist to speed up question answering.
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---
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@ -23,18 +23,18 @@ Please note that some of your settings may consume a significant amount of time.
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<APITable>
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```
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| Item name | Description |
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| ----------------- | ------------------------------------------------------------ |
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| Item name | Description |
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| ----------------- | --------------------------------------------------------------------------------------------- |
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| Total | Total time spent on this conversation round, including chunk retrieval and answer generation. |
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| Check LLM | Time to validate the specified LLM. |
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| Create retriever | Time to create a chunk retriever. |
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| Bind embedding | Time to initialize an embedding model instance. |
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| Bind LLM | Time to initialize an LLM instance. |
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| Tune question | Time to optimize the user query using the context of the mult-turn conversation. |
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| Bind reranker | Time to initialize an reranker model instance for chunk retrieval. |
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| Generate keywords | Time to extract keywords from the user query. |
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| Retrieval | Time to retrieve the chunks. |
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| Generate answer | Time to generate the answer. |
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| Check LLM | Time to validate the specified LLM. |
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| Create retriever | Time to create a chunk retriever. |
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| Bind embedding | Time to initialize an embedding model instance. |
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| Bind LLM | Time to initialize an LLM instance. |
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| Tune question | Time to optimize the user query using the context of the mult-turn conversation. |
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| Bind reranker | Time to initialize an reranker model instance for chunk retrieval. |
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| Generate keywords | Time to extract keywords from the user query. |
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| Retrieval | Time to retrieve the chunks. |
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| Generate answer | Time to generate the answer. |
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```mdx-code-block
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</APITable>
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@ -3,7 +3,7 @@ sidebar_position: 1
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slug: /start_chat
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---
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# Chat
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# Start AI chat
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Initiate an AI-powered chat with a configured chat assistant.
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@ -3,10 +3,10 @@ sidebar_position: 9
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slug: /accelerate_doc_indexing
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---
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# Accelerate document indexing
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# Accelerate indexing
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import APITable from '@site/src/components/APITable';
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A checklist to speed up document parsing.
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A checklist to speed up document parsing and indexing.
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---
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@ -134,7 +134,7 @@ As of RAGFlow v0.17.0, the search feature is still in a rudimentary form, suppor
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## Delete knowledge base
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You are allowed to delete a knowledge base. Hover your mouse over the three dot of the intended knowledge base card and the **Delete** option appears. Once you delete a knowledge base, the associated folder under **root/.knowledge** directory is AUTOMATICALLY REMOVED. The consequence is:
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You are allowed to delete a knowledge base. Hover your mouse over the three dot of the intended knowledge base card and the **Delete** option appears. Once you delete a knowledge base, the associated folder under **root/.knowledge** directory is AUTOMATICALLY REMOVED. The consequence is:
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- The files uploaded directly to the knowledge base are gone;
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- The file references, which you created from within **File Management**, are gone, but the associated files still exist in **File Management**.
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@ -5,7 +5,11 @@ slug: /manage_files
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# Files
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Knowledge base, hallucination-free chat, and file management are the three pillars of RAGFlow. RAGFlow's file management allows you to upload files individually or in bulk. You can then link an uploaded file to multiple target knowledge bases. This guide showcases some basic usages of the file management feature.
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Knowledge base, hallucination-free chat, and file management are the three pillars of RAGFlow. RAGFlow's file management allows you to upload files individually or in bulk. You can then link an uploaded file to multiple target knowledge bases. This guide showcases some basic usages of the file management feature.
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:::danger IMPORTANT
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Compared to uploading files directly to various knowledge bases, uploading them to RAGFlow's file management and then linking them to different knowledge bases is *not* an unnecessary step, particularly when you want to delete some parsed files or an entire knowledge base but retain the original files.
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:::
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## Create folder
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@ -35,7 +39,7 @@ RAGFlow's file management supports previewing files in the following formats:
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## Link file to knowledge bases
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RAGFlow's file management allows you to *link* an uploaded file to multiple knowledge bases, creating a file reference in each target knowledge base. Therefore, deleting a file in your file management will AUTOMATICALLY REMOVE all related file references across the knowledge bases.
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RAGFlow's file management allows you to *link* an uploaded file to multiple knowledge bases, creating a file reference in each target knowledge base. Therefore, deleting a file in your file management will AUTOMATICALLY REMOVE all related file references across the knowledge bases.
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@ -3,7 +3,7 @@ sidebar_position: 2
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slug: /deploy_local_llm
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---
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# Deploy a local LLM
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# Deploy LLM locally
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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