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GitHub - junruxiong/IncarnaMind: Connect and chat with your multiple documents (pdf and txt) through GPT and Claude LLMs in a minute

Sep 15, 2023 - github.com
IncarnaMind is a tool that allows users to interact with their personal documents (PDF, TXT) using Large Language Models (LLMs) like GPT. It uses a Sliding Window Chunking mechanism and an Ensemble Retriever to efficiently query both fine-grained and coarse-grained information within documents. The tool addresses challenges such as fixed chunking, precision vs semantics, single-document limitation, and stability. Key features include adaptive chunking, multi-document conversational QA, file compatibility, and LLM model compatibility.

The tool is powered by Langchain and Chroma DB and can be installed easily with a few commands. Users can upload and process their files, start a conversation, and ask any questions. However, the current version does not support citation and has limited asynchronous capabilities. Upcoming features include a frontend UI interface, OCR support, asynchronous optimization, support for open source LLMs, and support for more document formats. The tool is licensed under the Apache 2.0 License.

Key takeaways:

  • IncarnaMind is a tool that allows users to interact with their personal documents using Large Language Models (LLMs) like GPT, providing efficient querying of both fine-grained and coarse-grained information within the documents.
  • The tool addresses several challenges such as fixed chunking, precision vs semantics, single-document limitation, and stability, and offers features like adaptive chunking, multi-document conversational QA, file compatibility, and LLM model compatibility.
  • IncarnaMind can be easily installed and used, and it supports both PDF and TXT file formats. It also allows for multi-document querying, breaking the one-document-at-a-time barrier.
  • Despite its capabilities, IncarnaMind currently has limitations such as lack of citation support and limited asynchronous capabilities. However, upcoming features include a frontend UI interface, OCR support, asynchronous optimization, support for open source LLMs, and support for more document formats.
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