Langroid has a full built-inRAG assembly lineThe main features include:
- DocChatAgent: Intelligent body dedicated to document interaction, supporting native files such as PDF, Word and URLs;
- Automated processing: Automate document chunking, embedding generation, vector storage (supports databases like Qdrant/Chroma);
- Search Optimization: Questions are asked by retrieving relevant document fragments and then generating answers in context;
- scalability: Parameters such as chunk size and overlapping area can be configured to suit different scenarios.
For example, after loading a paper, the user can directly ask questions"Please summarize the core ideas", the intelligentsia will generate answers based on the key passages retrieved.
This answer comes from the articleLangroid: Easily Navigating Large Language Models with Multi-Intelligent Body ProgrammingThe
May not be reproduced without permission:AI productivity tools " What features related to RAG (Retrieval Augmentation Generation) does Langroid support?
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