A FastAPI application that uses Retrieval-Augmented Generation (RAG) with a large language model (LLM) to create an interactive chatbot. This chatbot leverages PostgreSQL vector store for efficient document retrieval and supports text and CSV data sources for initialization.
Semantic search engine with PostgreSQL + pgvector — Angular 17, Spring Boot 3.2, Docker Compose
This project demonstrates how to integrate text embeddings using nomic-embed-text and granite-embedding models with PostgreSQL and pgvector. You can perform similarity searches, text analysis, and more.
Support system API built with love and vibe for PyCon Ghana 2025
Implementing PostgreSQL as a search engine with a recency-weighted hybrid search, all within Docker.
To associate your repository with the pgvec topic, visit your repo's landing page and select "manage topics."