NeuronCite FAQs

Question 1

What kind of search capabilities does NeuronCite offer?

Accepted Answer

NeuronCite provides a powerful hybrid semantic search engine. It combines HNSW vector similarity for conceptual matching, BM25 keyword matching for precision, Reciprocal Rank Fusion, and optional cross-encoder reranking to deliver highly accurate and relevant results from your documents.

Question 2

Can NeuronCite integrate with other AI agents?

Accepted Answer

Yes, NeuronCite features a built-in MCP (Model Context Protocol) server with 43 tools. This allows seamless integration with AI assistants like Claude, enabling agents to control workflows such as indexing, searching, citation verification, and PDF annotation directly.

Question 3

What makes NeuronCite ideal for academic research and writing?

Accepted Answer

NeuronCite automates the tedious process of citation verification by parsing LaTeX papers and checking every citation against indexed source PDFs using local LLMs. It provides detailed verdicts, confidence scores, and correction suggestions, ensuring the accuracy of academic claims.

Question 4

What is NeuronCite's primary function?

Accepted Answer

NeuronCite is an enterprise-grade semantic search engine that transforms your document libraries into instantly searchable knowledge bases. Its unique capability is autonomously verifying academic citations in papers using local LLMs, all while prioritizing privacy and offline operation.

Question 5

How does NeuronCite ensure data privacy and security?

Accepted Answer

Built with privacy-by-design, NeuronCite processes all user data locally on your machine. It requires no cloud accounts, API keys, or internet connection after initial setup, making it suitable for air-gapped and classified environments.

NeuronCite

NeuronCite

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