AskAITools Community Edition
A
Askaitools Community Edition
Overview :
AskAITools is a state-of-the-art search engine project designed specifically for the AI product domain. It is set to revolutionize the way users discover AI products by providing the most accurate, comprehensive, quick, and intelligent search experience. The project includes a commercial version and a community version, with the community version offering basic frontend interfaces and search functionalities, and the code is completely open source. AskAITools employs a hybrid search engine architecture, combining keyword search and semantic search capabilities. Through statistical data analysis and weighted fusion technology, it achieves a balanced mix of relevance and popularity.
Target Users :
AITools is tailored for developers and organizations requiring the construction or use of professional search engines, particularly those focused on AI product domains. It assists them in quickly finding suitable AI solutions, enhancing search efficiency and accuracy.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 54.6K
Use Cases
To build AI product directory websites
As an internal document search system
Quickly set up vertical search engines for specific domains
Features
Provide keyword search and semantic search functionalities
Support developers in quickly building specialized vertical search engines or internal document search systems
Utilize Next.js as the frontend framework and Vercel as the deployment platform
Adopt Tailwind CSS for styling
Use Supabase as the database, and PostgreSQL for full-text search
Leverage Pgvector and Supabase Vector Database for semantic vector search
Integrate the OpenAI text-embedding-3 model to generate semantic vectors
How to Use
1. Collect and organize data specific to a domain and adjust it according to AskAITools data table structures
2. Modify the structure of the item table in the project, create a table and import data into Supabase
3. Copy and rename the environment variable template, and fill in the configuration information for Supabase and OpenAI
4. Adjust search parameters and strategies according to your needs
5. Run 'yarn install' to install dependencies in the local development environment, then run 'yarn dev' to start the development server
6. Deploy the project to Vercel according to Vercel's official documentation
7. After deployment is complete, celebrate your achievement
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase