HamedMP/NextRag

Next.js RAG with PGVector

40
/ 100
Emerging

This project helps developers integrate Retrieval Augmented Generation (RAG) into their web applications. It takes text documents, processes them into meaningful chunks, and converts them into searchable data. The result is a chat interface that can answer questions accurately based on the provided documents. Web application developers looking to build AI-powered Q&A or knowledge base systems would use this.

No commits in the last 6 months.

Use this if you are a web developer building a Next.js application and want a robust, production-ready example of how to implement RAG with PostgreSQL and vector embeddings for semantic search.

Not ideal if you are not a developer or are looking for a pre-built, no-code solution for your RAG needs.

web-development AI-applications knowledge-base semantic-search data-retrieval
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

32

Forks

8

Language

TypeScript

License

MIT

Last pushed

Nov 30, 2024

Commits (30d)

0

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