AI Explorer
Last updated
Last updated
Welcome to the Resource Hub for the AI Explorer! This guide provides everything you need to make the most of this innovative feature, from understanding its capabilities to tips and best practices for effective use.
Access the AI Explorer
The AI Explorer is powered by advanced Large Language Models (LLMs) to help you explore cleantech solutions efficiently. However, like any AI system, it may generate incorrect, outdated, or incomplete information.
We encourage users to: ✅ Cross-check critical details with official sources ✅ Verify solution specifics before making decisions ✅ Report inaccuracies to help improve our AI
Your feedback helps us refine the AI Explorer for better accuracy and reliability.
The AI Explorer is a conversational tool integrated into the Solutions Explorer. Powered by Retrieval-Augmented Generation (RAG), it transforms how you discover and adopt clean technology solutions by offering:
Intelligent Discovery: Navigate the platform with natural language queries.
Tailored Problem-Solving: Break down complex challenges into actionable solutions.
Enhanced Matchmaking: Connect with relevant cleantech innovations that meet your specific needs.
The AI Explorer is designed specifically to help you explore and find clean technology solutions tailored to your needs. To get the best results and make your experience seamless, follow these tips:
Focus on Problem-Solution Queries
The assistant excels at helping you match solutions to specific problems. Formulate your query with a clear goal in mind.
Example: "What solutions can reduce water consumption in agriculture?"
Example: "Are there technologies to improve air quality in urban areas?"
Explore Related and Alternative Solutions
If you're unsure about the best option, ask the assistant for related or alternative solutions.
Example: "Do you have similar solutions to reduce carbon emissions in construction?"
Example: "What other solutions address water recycling in manufacturing?"
Leverage the Assistant for Comparisons
Use the assistant to compare solutions to understand their unique benefits and trade-offs.
Example: "Compare two solar panel technologies in terms of cost and efficiency."
Example: "How does Solution A differ from Solution B for reducing industrial emissions?"
Refine Searches with Contextual Filters
Dynamically refine your searches using filters like region, sector, or application to target specific results.
Example: "Show me labeled solutions for mobility in Europe."
Example: "Find solutions from startups in the agrifood sector."
Follow-Up for Deeper Insights
Engage with the assistant to dive deeper into specific solutions. It can provide detailed information about the solution, the company behind it, and its mission, ensuring a comprehensive understanding.
Example:
User: "Explain more about Solution A. What is the company behind it, and what is its mission?"
AI: "Solution A is a precision irrigation system developed by AgriTech Innovations. The company specializes in sustainable agriculture technologies, aiming to reduce water consumption while boosting crop yields. Its mission is to empower farmers with tools that increase efficiency and support global food security while preserving natural resources."
By providing these details, the assistant helps you better understand the solution's purpose, its creator, and the broader goals driving its development. This makes it easier to evaluate the solution's fit for your specific needs or interests.
Simplify Complex Solutions
If a solution feels too technical, ask the assistant to simplify it.
Example: "Explain this solution in non-technical terms."
Use Context-Specific Examples
If you have a unique challenge, provide the context to get more relevant recommendations.
Example: "How can small businesses reduce energy consumption?"
Example: "What solutions exist for recycling construction waste in urban areas?"
Stay Domain-Focused
The assistant specializes in clean technology solutions. Focus your queries on solutions, comparisons, and sector-specific insights. For unrelated general knowledge, the assistant will refer you to resources or contacts.
General Knowledge Questions (Ad Hoc Use)
While the assistant is designed for matchmaking solutions, it can also provide basic, domain-related general knowledge if necessary.
Example: "What are the environmental benefits of solar energy?"
Example: "What challenges are associated with implementing electric buses?"
However, this should be secondary to its primary purpose of helping you explore the Solution Explorer's database.
Use the assistant to navigate specific cleantech challenges.
Delivers up-to-date, domain-specific information from Solar Impulse’s solution database.
Take advantage of its ability to refine queries, compare solutions, and suggest related options.
For further assistance or advanced queries, it can direct you to Solar Impulse Foundation’s support team at solutions@solarimpulse.com.
By focusing on problem-solving and clean technology discovery, the assistant ensures you find actionable and impactful solutions tailored to your needs.
Here’s how the assistant can help you tackle real-world challenges:
Problem Solving:
Query: "How can I reduce water consumption in agriculture?"
Response: Recommends precision irrigation, rainwater harvesting, and low-water crops.
Finding Specific Solutions:
Query: "Do you have information about the Phenix app?"
Response: Provides details about the solution and its benefits.
Sector Overview:
Query: "What solutions are available in the mobility sector?"
Response: Lists solutions like EV charging stations, low-carbon fuels, and shared mobility systems.
The assistant is designed to address the unique challenges of the environmental sector. By understanding complex, context-specific queries, it breaks down barriers and connects users with actionable solutions. This ensures that users, regardless of expertise, can confidently find the innovations they need to make a difference and become an actor of change.
Precision and Relevance
Delivers up-to-date, domain-specific information from Solar Impulse’s solution database.
Tailors responses to user-specific queries, ensuring relevance and usability.
Personalisation
Context-Specific Responses: The assistant provides tailored recommendations when you specify your role (e.g., investor, policymaker, entrepreneur) and your needs.
Adaptable to Your Goals: By incorporating geographic, sectoral, or thematic details from your query, the assistant refines its suggestions to fit your specific context.
Time-Saving
Provides actionable insights instantly, reducing the need for manual searches.
Understand and get an overview of a solution portfolio directly into view, no need to check solutions cards one by one
Ease of use
Intuitive interface supports natural language input.
Streamlined workflows make it accessible to technical and non-technical users alike.
