
GenSearch
GenSearch empowers users to create customized AI-powered search engines using a variety of large language models (LLMs) and search backends, all without coding requirements.
About GenSearch
GenSearch is a versatile platform that enables users to build tailored AI search engines with ease. It offers extensive customization through various LLMs, search backends, and branding options. Users can obtain accurate, cited answers or engage in conversational interactions, powered by advanced AI crawlers and large language models. Designed to transform search experiences, GenSearch allows deployment of AI-driven search solutions that boost user engagement and satisfaction without requiring coding skills.
How to Use
Begin by visiting the onboarding page and entering your details. Choose your preferred LLM, such as GPT-4, GPT-3.5, or Llama-3 70B, and connect a search backend like Google Programmable Search Engine. Authenticate the backend with your credentials. Customize your search engine's appearance by adding branding, selecting themes, and uploading your logo. After deployment, test your hosted search interface and share it with users.
Features
- Upcoming data-driven insights for enhanced analytics
- Generative AI delivers accurate, cited search results
- API access coming soon for integration
- Supports multiple LLMs including GPT-4, GPT-3.5, and Llama-3 70B
- Future support for conversational search with chat capabilities
- Intuitive builder for creating personalized AI search engines
- Branding options for complete UI customization
- Supports various search backends like Google Programmable Search and Semantic Scholar
Use Cases
- Boost user engagement with AI-powered search solutions
- Develop search engines that return accurate, cited answers
- Create conversational search interfaces with chat features
- Build AI-driven search experiences for websites and apps
- Design domain-specific or industry-focused search engines
Best For
Pros
- Highly customizable with various LLMs and search backends
- Capable of providing precise, cited answers and conversational interactions
- Extensive branding and UI personalization options
- No coding needed to build advanced AI search engines
- Future features include API access and detailed analytics
Cons
- Requires configuration of search backends like Google Programmable Search Engine
- API access and additional features are currently under development
- Dependent on external search data sources
- Limited backend options presently include Google and Semantic Scholar
