OpenResearcher

AI-powered research assistant

CommonProductEducationResearchAI Assistant

OpenResearcher is an advanced scientific research assistant designed to provide helpful answers for research inquiries. It can access the arXiv corpus, offering the latest scientific insights to help users explore the forefront of science.

Supports API models including OpenAI
Deepseek
Aliyun
and huggingface models.
Uses Qdrant vector search engine for data indexing and storage.
Supports web search capabilities
currently with Bing Search.
Provides benchmarking results for comparisons with other RAG-related systems.
Allows users to customize API and base URL via the config.py configuration file.
Offers comprehensive installation and usage guides to help users get started quickly.

Target audience includes researchers
scholars
and students who need to quickly access the latest information and in-depth analysis of scientific literature. OpenResearcher utilizes AI technology to help them save time in searching and filtering information
thereby enhancing research efficiency.

Researchers use OpenResearcher to quickly obtain the latest research findings in specific fields.
Students utilize OpenResearcher to aid in writing academic papers and sourcing relevant literature.
Educational institutions use OpenResearcher as a teaching aid to help students and faculty access research information.

First
install the necessary dependencies by running the command `pip install -r requirements.txt`.
Download and run the Qdrant vector search engine
with specific steps available in the provided link.
Configure the API model by modifying the API and base URL values in the config.py file.

Visit

OpenResearcher Visit Over Time

Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

OpenResearcher Visit Trend

OpenResearcher Visit Geography

OpenResearcher Traffic Sources

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