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product#rag🏛️ OfficialAnalyzed: Jan 6, 2026 18:01

AI-Powered Job Interview Coach: Next.js, OpenAI, and pgvector in Action

Published:Jan 6, 2026 14:14
1 min read
Qiita OpenAI

Analysis

This project demonstrates a practical application of AI in career development, leveraging modern web technologies and AI models. The integration of Next.js, OpenAI, and pgvector for resume generation and mock interviews showcases a comprehensive approach. The inclusion of SSRF mitigation highlights attention to security best practices.
Reference

Next.js 14(App Router)でフロントとAPIを同居させ、OpenAI + Supabase(pgvector)でES生成と模擬面接を実装した

Research#LLM👥 CommunityAnalyzed: Jan 10, 2026 15:47

AI-Powered Image Search for iCloud Photos: LLaVA and Pgvector Integration

Published:Jan 20, 2024 14:01
1 min read
Hacker News

Analysis

This article discusses an interesting application of AI, specifically LLaVA, for a practical purpose: indexing and searching iCloud photos. While the specifics of implementation are unclear without more context, the article hints at potential efficiency gains in photo organization.
Reference

The article's source is Hacker News, indicating a technical audience and focus.

Technology#AI/Database👥 CommunityAnalyzed: Jan 3, 2026 16:06

Storing OpenAI embeddings in Postgres with pgvector

Published:Feb 6, 2023 21:24
1 min read
Hacker News

Analysis

The article discusses a practical application of storing and querying embeddings generated by OpenAI within a PostgreSQL database using the pgvector extension. This is a common and important topic in modern AI development, particularly for tasks like semantic search, recommendation systems, and similarity matching. The use of pgvector allows for efficient storage and retrieval of these high-dimensional vectors.
Reference

The article likely provides technical details on how to set up pgvector, how to generate embeddings using OpenAI's API, and how to perform similarity searches within the database.