GenSearch

Gensearch is a web-based platform that enables users to create and deploy custom AI-powered search engines quickly and without writing any code. By combining Generative AI with established search backends, it AIms to deliver a tailored search experience that can be branded and shared with others.

What it does

GenSearch provides a streamlined interface for selecting a large language model (LLM) and connecting it to a search backend. You can choose from models like GPT-4, GPT-3.5, or Llama-3 70B, and link to backends such as Google Custom Search or Semantic scholar. Once configured, GenSearch generates a hosted search interface that you can customize with your own branding, themes, and logo. This allows you to offer a Personalized search experience to your audience, whether for General use or academic research.

Key capabilities

• no-code setup: Build and deploy a search engine entirely through a visual interface, with no programming required.
• Multiple search backends: Integrate with google Custom Search for broad web results and Semantic Scholar for academic content. Additional backends may be added in the future.
• Branding and customization: APPly white-label options, choose light or dark themes, add your logo, and name your search experience.
• Hosted testing and sharing: After deployment, test your search engine via a hosted UI and share the link with users once satisfied.
• Future-ready features: Planned enhancements include API access, data-driven insights, and conversational search with integrated chat.

Who it is for

GenSearch is suitable for a range of users, including:

• Content creators and community managers who want to offer a branded search tool to their audience.
• Academic researchers and educators seeking a focused search interface over Semantic Scholar or other scholarly sources.
• small businesses and startups looking to integrate AI-powered search into their website or internal tools without development resources.
• Hobbyists and experimenters interested in exploring generative AI search with minimal setup.

How to get started

1. Select an LLM and search backend: Choose from available models and pick a backend like Google Custom Search or Semantic Scholar.
2. Configure the backend: Provide any necessary credentials (e.g., API keys) to enable communication with the search service.
3. Personalize the experience: Upload your logo, select a theme, and name your search engine to match your brand.
4. Deploy and test: Launch the search engine and try it out via the hosted UI. Once satisfied, share the link with your intended users.

detailed instructions and documentation are available on the GenSearch platform to guide you through each step.

Pricing and access caveat

GenSearch may operate on a free or freemium bASIs, but pricing details are not explicitly stated and may vary. Users should check the official website for the most current Information on costs, limits, and any premium features. Additionally, the availability of certain LLMs or search backends may depend on external fACTors such as API access and usage policies.

Overall, GenSearch simplifies the creation of AI-driven search engines, making it accessible to non-technical users who want to deliver a customized search experience.