Reverse Dependencies of qdrant-client

The following projects have a declared dependency on qdrant-client:

• agent-search — AgentSearch: An open source framework and dataset for webscale local search.
• apache-airflow-providers-qdrant — Provider package apache-airflow-providers-qdrant for Apache Airflow
• api2openai — Create a Python package.
• bisheng-pyautogen — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• bodhiext.qdrant — Bodhilib plugin for Qdrant Vector DB by bodhiext
• cadenai — no summary
• camel-ai — Communicative Agents for AI Society Study
• canopy-sdk — Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
• chainfury — ChainFury is a powerful tool that simplifies the creation and management of chains of prompts, making it easier to build complex chat applications using LLMs.
• ChatLLM — Create a Python package.
• chatmysql — A simple chat cli based on mysql cli.
• ChatSQL — Create a Python package.
• closeai — Create a Python package.
• cognee — Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning.
• CPM-Bee — Create a Python package.
• cpm-live — Create a Python package.
• cybrex — Researching AI
• datapipe-core — `datapipe` is a realtime incremental ETL library for Python application
• deepleapio — DeepLeap: NPCs Unleashed in the Cloud.
• dlt — dlt is an open-source python-first scalable data loading library that does not require any backend to run.
• docarray — The data structure for multimodal data
• docsbot — A simple chat bot for querying information from your local private documents.
• dspy-ai — DSPy
• easy-letters — A Python package for generating draft cover and application letters using generative AI.
• emb-opt — A lightweight framework to efficiently screen vector databases
• embedbase-qdrant — Embedbase + Qdrant - Advanced and high-performant vector similarity search technology in your AI applications.
• embedchain — Simplest open source retrieval (RAG) framework
• esco-playground — no summary
• evadb — EvaDB AI-Relational Database System
• exponential — A Python package with a built-in web application
• flexible-semantic-kernel — flexible-semantic-kernel
• geniml — Genomic interval toolkit
• genworlds — GenWorlds by YeagerAI: Pioneering AI-based simulations based on collaborative autonomous agents.
• gigachain — Building applications with LLMs through composability
• gptool — A compact tool for OpenAI API, offering streamlined function management and efficient API tool(function calling) usage through Pydantic validation and vector database indexingg.
• gptui — A GPT conversational TUI tool that runs within the terminal.
• hive-cli — no summary
• indexpaper — indexpaper - library to index papers with vector databases
• intellifs — Content-Aware File System.
• julie — Julie is a blogging assistant and linter for AI Hackers wanting to make their work more accessible
• kadia — no summary
• keble-chains — Keble ai model toolkit
• keble-db — Keble db
• komodo-sdk — Komodo SDK
• langchain — Building applications with LLMs through composability
• langchain_1111_Dev_cerebrum — Building applications with LLMs through composability
• langchain-by-johnsnowlabs — Building applications with LLMs through composability
• langchain-ibis — Building applications with LLMs through composability
• langchain-xfyun — 在LangChain中流畅地使用讯飞星火大模型
• langchaincoexpert — Building applications with LLMs through composability
• langchainmsai — Building applications with LLMs through composability
• langchainn — Building applications with LLMs through composability
• langflow — A Python package with a built-in web application
• langplus — Building applications with LLMs through composability
• langroid — Harness LLMs with Multi-Agent Programming
• llama-index-readers-qdrant — llama-index readers qdrant integration
• llama-index-vector-stores-qdrant — llama-index vector_stores qdrant integration
• llm2openai — Create a Python package.
• llm4data — LLM4Data is a Python library designed to facilitate the application of large language models (LLMs) and artificial intelligence for development data and knowledge discovery.
• llmopenai — Create a Python package.
• LLMSmith — Lightweight Python library designed for developing functionalities powered by Large Language Models (LLMs)
• lumeny — A cli and tui based personal management app for Lumen Young
• luxonis-ml — MLOps tools for training models for Luxonis devices
• map2gpt — A python package to index and search documents using GPT3
• metagpt — The Multi-Agent Framework
• mirageml — Your Personal AGI
• neumai — Package containing connectors for Neum AI.
• neuralpit — NeuralPit SDK
• OpenBMB — Create a Python package.
• oplangchain — langchain for OpenPlugin
• osintgpt — A Python OSINT tool using Large Language Models
• pandasai — Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
• polymind — PolyMind is a customizable collaborative multi-agent framework for collective intelligence and distributed problem solving.
• pullama — A git diff Summarizer backed by LLM on Ollama
• PyAutoGen — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• pyautogenmagic — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• qdrant-haystack — An integration of Qdrant ANN vector database backend with Haystack
• qdrant-tools — no summary
• qdrant-txtai — An integration of Qdrant ANN vector database backend with txtai
• r2r — SciPhi R2R
• rag-eval — A RAG evaluation framework
• ragutils — A package that abstracts most of the utilities used in RAG applications
• retake — Open Source Infrastructure for Vector Data Streams
• retri-evals — Open-source tool for building and evaluating retrieval pipelines.
• sage-func — Folder-based functions for GPT 3.5/4 function calling with Pydantic support
• sageai — File-based functions for ChatGPT's function calling with Pydantic support
• seaplane — Seaplane Python SDK
• semantic-ai — Sematic AI RAG System
• semantic-cache — Semantic Caching on python functions
• semantic-chunkers — Super advanced chunking methods for AI
• semantic-kernel — Semantic Kernel Python SDK
• semantic-router — Super fast semantic router for AI decision making
• simgen-ssg — no summary
• sommify — A package for recipe parsing
• super-rag — Super-performant RAG pipelines for AI apps
• testcontainers — Python library for throwaway instances of anything that can run in a Docker container
• tweets-to-topic-network — start from a set of tweets and create a multilayer network where each layer is a topic
• unstructured — A library that prepares raw documents for downstream ML tasks.
• vanna — Generate SQL queries from natural language
• vdf-io — This library uses a universal format for vector datasets to easily export and import data from all vector databases.