Themis Database System - High-performance C++ hybrid-database (graph-vector-relational-file) with AQL support and MVCC

Local Retrieval-Augmented Generation (RAG) system built with FastAPI, integrating vector search, Elasticsearch, and optional web search to power LLM-based intelligent question answering using models like Mistral or GPT-4.

📰 Scrape and analyze AI news articles efficiently while powering semantic search capabilities for better insights and understanding.

Demo project. Semantic audio search for journalists

stonks :) Complete RAG pipeline for evaluating financial documents of listed companies. Aim to reducing mannal analysis type ~95%.

FastAPI-based RAG app: upload PDFs, store OpenAI embeddings in Weaviate, and query with semantic search. Includes a simple HTML UI, Dockerized Weaviate, and ready-to-run setup via requirements.txt.

Anthropic's Contextual Retrieval implementation with visual chunk comparison. Preview context enrichment before/after embedding.

AI-powered document assistant with RAG technology. Upload docs, ask questions, get intelligent answers. Features email integration, multilingual support, and secure authentication

find-my-movie is a FastAPI-powered Movie Recommendation API that finds movies based on natural language Query, it generates vector embeddings for movie descriptions, and stores them in pgvector for efficient querying.

Weaviate vector database – examples

Root Repository

This repository powers an AI‐Powered Social Document Sharing Platform built in Django. The platform combines social networking paradigms (follow, share, like) with advanced document intelligence.

Retrieval-Augmented Generation (RAG) chatbot across four domains: Law, Health, Finance, and Technology. Curated domain-specific datasets from data sources; stored PDFs and embeddings using MongoDB and FAISS. Built a scalable RAG pipeline enabling high-precision similarity search and dynamic query responses.

The goal is to evaluate CVs based on the O-1A visa qualification criteria

AIMPACT 2.0 is an advanced movie recommendation system that leverages Python and HTML technologies to provide personalized movie suggestions. The system analyzes user preferences and movie data to generate tailored recommendations, enhancing the user's viewing experience through intelligent algorithms and a user-friendly web interface.

The Medical Report Summarization System is a web-based application designed to facilitate the management and summarization of medical reports.

VectorSearch.Tech - Blog articles , tutorials, and guides on latest search technologies.

retrieval augmented generation app based on gradio with different levels of integration. Using simple vector store db and a graph data structure

MiniPilot is a GenAI-assisted chatbot backed by Redis. Chat with your documents