🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
-
Updated
Feb 13, 2026 - TypeScript
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
A Python vector database you just need - no more, no less.
A modern desktop application for exploring, managing, and analyzing vector databases
A Python library to chunk/group your texts based on semantic similarity.
S3 vector database for LLM Agents and RAG.
Embed anything.
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
LogosDB is a fast semantic vector database for RAG written in C/C++ that provides approximate nearest-neighbor search over embedding vectors with associated text metadata.
Privacy-focused RAG chatbot for network documentation. Chat with your PDFs locally using Ollama, Chroma & LangChain. CPU-only, fully offline.
Machine Learning, LLM and other Jupyter Notebooks and resources
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-Powered Lecture Navigation System. An intelligent learning platform that uses machine learning models to provide personalized lecture navigation and content discovery for students.
A chrome extension for chating with the webpage
vector database from scratch. no libraries. just numpy.
AI Voice Assistant with RAG | LiveKit + LLaMA Index | Intelligent document retrieval for coaching conversations
RAG chatbot for the National Electrical Code using Next.js, ChromaDB, and Claude AI
Add a description, image, and links to the vector-database-embedding topic page so that developers can more easily learn about it.
To associate your repository with the vector-database-embedding topic, visit your repo's landing page and select "manage topics."