askaitools/askaitools-community-edition
A cutting-edge search engine project tailored specifically for the AI product
Implements a hybrid search architecture combining full-text search via PostgreSQL and semantic search through pgvector embeddings, with weighted fusion to balance relevance and popularity. Built on Next.js and Vercel with Supabase as the backend, using OpenAI's text-embedding-3 model for vector generation. Designed as a customizable framework where developers can swap in their own datasets and search parameters to rapidly build vertical search engines or internal document search systems.
358 stars. No commits in the last 6 months.
Stars
358
Forks
33
Language
TypeScript
License
Apache-2.0
Category
Last pushed
Jul 11, 2024
Commits (30d)
0
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