pgvector-retrieval

AI Agent buat mantau keruwetan Indonesia. Scrape berita, analisis pakai LLM. Bertanya ke chatbot RAG interaktif.

End-to-end credit decision system that combines policy/regulatory retrieval, modular agent pipelines, and LLM-assisted reasoning to produce explainable loan decisions with citations, metrics, and a Streamlit review UI. Containerized with Docker and Docker Compose for easy deployment.

It is a concept-aware Retrieval-Augmented Generation (RAG) system for examining questions about consciousness, selfhood, identity, perception, experienced reality, and related themes across three distinct knowledge traditions

Source-grounded RAG over a medical-tourism corpus — FastAPI + pgvector (HNSW + MMR), cite-or-refuse grounding delegated to an external chat surface, React admin dashboard, LangChain ingestion.

AI-powered career intelligence platform built with FastAPI, PostgreSQL, pgvector, and Ollama. Analyze resumes, identify skill gaps, generate learning roadmaps, prepare for interviews, and chat with an intelligent career assistant using Retrieval-Augmented Generation (RAG).

LyricLens is a RAG-based semantic lyric retrieval system for emotion-aware music recommendation.

AMKP (Agentic Multimodal Knowledge Plane): API/SDK/MCP-first Evidence + Policy + Tenancy plane for multi-product RAG — hard isolation, Parse Ladder / TableEvidence, guarded agentic retrieve, traces & eval.

This project is a Spring Boot chatbot that lets users upload their own files and ask questions about them, using Retrieval-Augmented Generation (RAG) with a local Ollama LLM.

An open-source, self-hosted assistant that delegates real work to a swarm of specialist AI agents.