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IncarnaMind

Talk to your documents through large language models like GPT

#Artificial Intelligence
#machine learning
#chatbot
#llm
#openai
#gpt
IncarnaMind

Product Details

IncarnaMind is an open source project that aims to enable interactive dialogue with personal documents (PDF, TXT) through large language models (LLMs) such as GPT, Claude and local open source LLMs. This project utilizes the sliding window blocking mechanism and integrated searcher to improve query efficiency and enhance the accuracy of LLMs. It supports multi-document dialogue Q&A, breaks through the limitation of single document, and is compatible with multiple file formats and LLM models.

Main Features

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Adaptive blocking: Dynamically adjust window size and position to balance fine-grained and coarse-grained data access.
2
Multi-document conversation Q&A: Supports simple and multi-hop queries, and queries across multiple documents at the same time.
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File Compatibility: Supports PDF and TXT file formats.
4
LLM model compatibility: Supports OpenAI GPT, Anthropic Claude, Llama2 and other open source LLMs.
5
System Requirements: More than 35GB of GPU RAM is required to run the GGUF quantized version.
6
Open source and native LLMs support: It is recommended to use the llama2-70b-chat model and support experiments with other LLMs.
7
Coming soon: Plans to release smaller, more cost-effective fine-tuned models.

How to Use

1
1. Installation: Clone the repository and set up the Python environment.
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2. Create an environment: Use Conda to create a virtual environment and activate it.
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3. Install dependencies: Install all required dependencies.
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4. Set the API key: Set the API key in the configparser.ini file.
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5. Upload the file: Place the file into the /data directory and run the command to process the file.
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6. Run: Start the dialog and wait for the script to prompt for input.
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7. Chat: Interact with the system, ask questions and get answers.
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8. Log management: The system will automatically generate the IncarnaMind.log file, and you can edit the log settings as needed.

Target Users

The target audience includes researchers, developers and any user who needs to interact with large amounts of documents. IncarnaMind helps them better understand and utilize the data in documents and improve work efficiency by providing efficient document query and dialogue functions.

Examples

Researchers can use IncarnaMind to have conversations with their research papers and get the information they need quickly.

Developers can interact with technical documentation through IncarnaMind to solve problems encountered in programming.

Enterprise users can use IncarnaMind for knowledge management and improve team collaboration efficiency.

Quick Access

Visit Website →

Categories

💼 productive forces
› AI knowledge base
› AI chatbot

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