IncarnaMind is a revolutionary AI model that can interactively chat with multiple documents and provide accurate information query services. It breaks through the limitations of traditional AI models and realizes dynamic adjustment of information retrieval methods, thereby providing users with a new document interaction experience. This model uses innovative sliding window blocking technology, which can flexibly adjust the size and position of the retrieval window according to the complexity of the document content and user needs, effectively balancing the acquisition of comprehensive contextual information and fine details. Not only that, IncarnaMind also supports multi-hop queries and a variety of large-scale language models, such as OpenAI's GPT series, Anthropic's Claude and Llama2, etc., with strong compatibility to meet the personalized needs of different users.
IncarnaMind is an AI model that can interact with multiple documents to chat and accurately query information. It can not only understand the document content, but also dynamically adjust the information retrieval method according to the user's needs, providing users with a brand new document interaction experience.
IncarnaMind uses innovative sliding window blocking technology, which can dynamically adjust the size and position of the retrieval window according to the complexity of the document content and user query needs. Compared with the traditional fixed block size retrieval-augmented generation (RAG) method, IncarnaMind can better balance the relationship between obtaining comprehensive contextual information and fine details.
IncarnaMind supports multi-hop query and can process multiple documents at the same time, breaking the limitation of previous AI models that can only query one document at a time. This capability provides users with more comprehensive and integrated data information, greatly improving the efficiency and accuracy of information retrieval.
IncarnaMind supports a variety of large language models, including but not limited to OpenAI's GPT series, Anthropic's Claude, and open source large language models (LLMs), such as Llama2. This broad compatibility enables IncarnaMind to meet the needs of different users and provide more personalized services.
Main features:
Adaptive blocking: IncarnaMind’s sliding window blocking technology can dynamically adjust window size and position based on data complexity and contextual needs, achieving a balance between fine-grained and coarse-grained data access.
Multi-document conversational QA: IncarnaMind supports simple queries and multi-hop queries across multiple documents, allowing users to easily obtain cross-document information.
File Compatibility: IncarnaMind supports PDF and TXT file formats, covering common document types.
LLM model compatibility: IncarnaMind supports a variety of open source large-scale language models including OpenAI GPT, Anthropic Claude, Llama2, etc.
IncarnaMind has brought revolutionary changes to the fields of document processing and information retrieval with its advanced technology, strong compatibility and user-friendly design. It not only improves work efficiency, but also brings a more intelligent and personalized experience to users.
Project address: https://github.com/junruxiong/IncarnaMind
All in all, with its powerful functions and excellent compatibility, IncarnaMind provides users with efficient and convenient document processing and information retrieval services, greatly improving work efficiency and user experience. Its open source feature also provides developers with a broader application space. Welcome to visit the GitHub project address for more details.