Reverse Dependencies of pymilvus

The following projects have a declared dependency on pymilvus:

• agent-cloud — no summary
• agent-cloud-os — no summary
• agent-context — no summary
• agent-management-system — no summary
• agent.ngo — no summary
• agent-system — no summary
• agentbox — no summary
• agentDB — no summary
• agentvm — no summary
• ams-core — no summary
• ams-python — no summary
• ANNZOO — description
• appnext — no summary
• auto-ams — no summary
• axolotl-dbu — Teia Labs DB Utils packege
• azureml-rag — Contains Retrieval Augmented Generation related utilities for Azure Machine Learning and OSS interoperability.
• biochatter — Backend library for conversational AI in biomedicine
• camel-ai — Communicative Agents for AI Society Study
• code-context — no summary
• codegraph-agent — no summary
• CTRZOO — CTR ZOO for CloudML
• datapipe-core — `datapipe` is a realtime incremental ETL library for Python application
• dbgpt — DB-GPT is an experimental open-source project that uses localized GPT large models to interact with your data and environment. With this solution, you can be assured that there is no risk of data leakage, and your data is 100% private and secure.
• docarray — The data structure for multimodal data
• dotagent — no summary
• dotagent-dev — no summary
• dotams — no summary
• dotnext — no summary
• dspy-ai — DSPy
• easyann — description
• embedchain — Simplest open source retrieval (RAG) framework
• evadb — EvaDB AI-Relational Database System
• flexible-semantic-kernel — flexible-semantic-kernel
• heliumos-jarvis — AI Agent for heliumos
• incognitoGPT — no summary
• langreact — LangReact Project
• lemon-rag — no summary
• llama-index-readers-milvus — llama-index readers milvus integration
• llama-index-vector-stores-milvus — llama-index vector_stores milvus integration
• llm-server — no summary
• llmproxy — no summary
• llmware — An enterprise-grade LLM-based development framework, tools, and fine-tuned models
• MeUtils — description
• mi — description
• milvus-api — A Milvus API used for quickly setting up a Milvus vector database
• milvus-cli — CLI for Milvus
• milvus-haystack — no summary
• milvus-kernel — A milvus kernel for Jupyter.
• namas — no summary
• neuralnest — NeuralNest: An open-source personal AI assistant designed for seamless data integration from various sources, offering versatile connections to Language Learning Models (LLMs), enhanced security, and human-in-the-loop options for a personalized AI experience.
• next-ams — no summary
• next-llm — no summary
• nextagent — no summary
• nextapi — no summary
• nextpy-ai — no summary
• openagent-py — no summary
• openagentos — no summary
• openAMS — no summary
• openlora — no summary
• paddle-pipelines — Paddle-Pipelines: An End to End Natural Language Proceessing Development Kit Based on PaddleNLP
• polymind — PolyMind is a customizable collaborative multi-agent framework for collective intelligence and distributed problem solving.
• privacera-securechat — Privacera Secure Chat is a conversational AI chatbot
• ragutils — A package that abstracts most of the utilities used in RAG applications
• semantic-kernel — Semantic Kernel Python SDK
• similarity-engine-utils — Similarity engine utils
• st-milvus-connection — Streamlit Milvus Connection
• tok715 — CODENAME: TOK715
• tql-ANN — description
• vdf-io — This library uses a universal format for vector datasets to easily export and import data from all vector databases.
• vectordb-bench — VectorDBBench is not just an offering of benchmark results for mainstream vector databases and cloud services, it's your go-to tool for the ultimate performance and cost-effectiveness comparison. Designed with ease-of-use in mind, VectorDBBench is devised to help users, even non-professionals, reproduce results or test new systems, making the hunt for the optimal choice amongst a plethora of cloud services and open-source vector databases a breeze.
• vectordb-orm — no summary
• whyis-milvus — no summary