A Python vector database you just need - no more, no less.
A Python library to chunk/group your texts based on semantic similarity.
S3 vector database for LLM Agents and RAG.
V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin
ToucanDB is a brand-new micro ML-first database engine 🦜
Examples of vector DB indexing and query with various vector databases.
High-performance database management system
Privacy-focused RAG chatbot for network documentation. Chat with your PDFs locally using Ollama, Chroma & LangChain. CPU-only, fully offline.
vector database from scratch. no libraries. just numpy.
Chat with a bot trained on your resume and GitHub repos. Ask it about your experience and skills, and it answers grounded only in your actual work.
A powerful **two-stage multimodal retrieval pipeline** for ComfyUI, enabling semantic image search using natural language queries or image similarity. Built on the **Qwen3-VL foundation model** from Alibaba.
AI Voice Assistant with RAG | LiveKit + LLaMA Index | Intelligent document retrieval for coaching conversations
电猫哥向量图书馆 (ECatVecLib) - 包含通用代码库、避坑指南、指令速查等的个人知识库，内置向量数据库管理脚本，支持 AI 语义检索和 Agent/MCP 集成，助力跨项目知识共享（BUSL-1.1 非商用许可证）
Complete pipeline for generating DBpedia text embeddings using OpenAI's embedding models and publishing them as Hugging Face datasets.
📄 IEEE-Published AI-powered PDF Question Answering System using Google Gemini, FAISS, HuggingFace Embeddings, and Streamlit for semantic document search, contextual question answering, and intelligent document analysis.
Experimenting with Pinecone as vector data continues to take center stage in AI-native systems. The purpose of this project is to explore the core capabilities, benchmark performance across different embedding models, and better understand what is possible with vector search in production environments.
Enterprise-grade Retrieval Augmented Generation (RAG) system using FastAPI, Milvus, Confluence ingestion, and LLMs for internal knowledge search and Q&A.
🔍 Scalable microservices-based visual search engine using deep learning embeddings and vector databases. Search for similar images with REST API, powered by Docker, Redis, Qdrant, and PyTorch.
S3 Vectors RAG System with Shakespearean Content.
Prototype of a RAG-based system for generating upcycling solutions in a DIY context
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