Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
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Updated
Nov 19, 2025 - Python
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.
Agent skill that teaches LLMs to operate Milvus vector database using pymilvus — connection, collections, vector CRUD, search, hybrid search, full-text search, indexing, RBAC, and common patterns like RAG
Sustainable Hydroponic domain-specific LLM developed to improve sustainable farming.
Agent skill that teaches AI agents how to manage Zilliz Cloud vector databases through zilliz-cli
A ChatGPT-powered QA system using OpenAI, LangChain, FastAPI, and a vector database. It retrieves answers based on stored data, enhancing responses with relevant source links. The project enables efficient knowledge retrieval, making it ideal for AI-driven chat applications that require accurate and reference-backed responses.
Zilliz Cloud plugin for Claude Code — manage clusters, collections, vector search, backups, and more through natural language.
A infinite dictionary with semantic search cause it sounded cool.
Production-ready AI customer service chatbot for orthopedic clinics built with Next.js 16, LangGraph, OpenAI GPT-4o-mini, RAG (Zilliz Cloud), and full LangSmith observability.
Gemini CLI extension for driving Zilliz Cloud via zilliz-cli.
Next.js frontend for BookLook: semantic book discovery across 2.1M+ titles. Search by title or author, get vector-powered recommendations with explainable "why similar" notes. App Router, TypeScript, Tailwind CSS, Jest/RTL. Backed by a FastAPI + Zilliz Cloud recommendation service.
Vector Search Performance Benchmark of SingleStore, Pinecone and Zilliz
Chatbot server using Langchain, FastAPI, and configurable Azure/Zilliz vector stores
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