To quickly build a document-based intelligent Q&A system, you can use the Langroid framework'sDocChatAgentfunction. The specific steps are as follows:
- Install Langroid's Document Chat add-on package:
pip install "langroid[doc-chat]" - Configure document paths to support local files or URLs, such as PDF or Word documents.
- Create an instance of DocChatAgent that will automatically handle document loading, slicing and indexing
- Wrapping Intelligentsia in Tasks Opens Interactive Chat
The background of the system will automatically complete the process of: document download, text extraction, chunking, generating vector embedding and storage. When a question is asked, the framework will first retrieve the relevant document fragment and then submit it together with the question to LLM to generate the answer. This approach greatly simplifies the development process of RAG (Retrieval Augmented Generation) applications.
This answer comes from the articleLangroid: Easily Navigating Large Language Models with Multi-Intelligent Body ProgrammingThe
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