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  • Introduction

  • What is NeuroVecta?

  • Getting Started

  • Logging In

  • Quick Create UI

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  • Working with Files

  • Vector Databases

  • Uploading Files

  • Indexing Files

  • Querying Documents

  • Citation Rationales

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Querying Your Documents

Best practices for getting accurate and relevant results

The Chat Interface

NeuroVecta chat interface showing conversation with AI and citation links
The chat interface provides a conversational way to query your documents with real-time responses and verifiable citations.

NeuroVecta's chat interface provides a natural, conversational way to interact with your document database. Simply type your question in plain English, and the AI will search through your indexed documents to provide accurate, cited responses.

Each response includes numbered citations that link directly to the source documents, allowing you to verify the information and explore the full context. Click any citation number to view the exact page and paragraph where the information was found.

How to Query Effectively

NeuroVecta uses semantic search to understand your queries and retrieve relevant information from your documents. Follow these best practices to get the most accurate and helpful responses. Learn more about natural language processing.

Best Practices

  • Be Context-Specific

    For best quality results, avoid broad or overly general prompts (e.g., "Summarise all documents"). NeuroVecta retrieves information based on meaning, not document count.

    ✓ Good Example:

    "What are the key findings about protein synthesis in the 2024 research papers?"

    ✗ Less Effective:

    "Tell me about everything in my documents."

  • Prompt Flexibility

    You may instruct the AI to take on specific roles or approaches to tailor the response style.

    Example:

    "As a scientific researcher, present the findings on climate change impacts from the reports, focusing on statistical evidence."

  • Conversational Awareness

    Chat sessions remember context from earlier queries, enabling multi-turn conversations. You can ask follow-up questions, request clarifications, or dive deeper into specific topics without repeating context. Learn more.

Query Examples by Use Case

Research & Analysis
• "What are the main methodologies used in the COVID-19 studies?"
• "Compare the results from Study A and Study B regarding vaccine efficacy."
• "What gaps in the research are identified across these papers?"
Legal & Compliance
• "What are the key obligations under Section 5 of the contract?"
• "How do these policies address data privacy requirements?"
• "What penalties are specified for non-compliance?"
Verify with citations.
Technical Documentation
• "How do I configure the authentication module?"
• "What are the system requirements for deployment?"
• "Explain the error handling process in the API documentation."
Business Intelligence
• "What are the key market trends identified in the Q4 reports?"
• "Summarise the competitive advantages mentioned in the strategy documents."
• "What risks are highlighted in the financial analysis of our latest annual report?"

Tips for Better Results

Use Natural Language

Write your queries as you would ask a colleague. NeuroVecta understands natural language and doesn't require special syntax or keywords.

Refine Based on Results

If the first response isn't quite what you need, refine your question or ask for clarification. The conversational context is maintained throughout the chat session.

Remember

NeuroVecta is designed for qualitative information retrieval and synthesis. For best results, focus on questions that require understanding, explanation, or summarisation of natural language content. Have questions? Check our FAQs or contact support.