Reverse Dependencies of weaviate-client

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

• ai-db — Analyze your unstructured data
• apache-airflow-providers-weaviate — Provider package apache-airflow-providers-weaviate for Apache Airflow
• bytetrade-recommend-model-sdk — no summary
• chatiq — A versatile Slack bot using GPT & Weaviate-powered long-term memory to accomplish various tasks.
• cognee — Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning.
• 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.
• distyll-info — Information parsing assistant
• 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
• dreamai — 🔂
• dspy-ai — DSPy
• dspy-ai-hmoazam — DSPy
• embedchain — Simplest open source retrieval (RAG) framework
• exponential — A Python package with a built-in web application
• farm-haystack — LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.
• featureform — Package for the Featureform Feature Store
• featureform-enterprise — Package for the Featureform Enterprise Feature Store
• firstbatch — FirstBatch SDK for integrating user embeddings to your project. Add real-time personalization to your AI application without user data.
• flask-weaviate — Flask extension for Weaviate
• flexible-semantic-kernel — flexible-semantic-kernel
• flying-delta-vector-stores-weaviate — llama-index vector_stores weaviate integration
• genai_stack — End-to-End Secure & Private Generative AI for All
• goldenverba — Welcome to Verba: The Golden RAGtriever, an open-source initiative designed to offer a streamlined, user-friendly interface for Retrieval-Augmented Generation (RAG) applications. In just a few easy steps, dive into your data and make meaningful interactions!
• gpt-toolbox — no summary
• h2ogpt — no summary
• import-a — A folder of functions and classes that are easy to import
• 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-weaviate — An integration package connecting Weaviate and LangChain
• langchain-xfyun — 在LangChain中流畅地使用讯飞星火大模型
• langchaincoexpert — 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
• langsearch — Easily create semantic search based LLM applications on your own data
• lexi — Lexi is a local LLM-based solution - includes Chat UI, RAG, LLM Proxy, and Document importing
• llama-index-packs-retry-engine-weaviate — llama-index packs retry_engine_weaviate integration
• llama-index-readers-weaviate — llama-index readers weaviate integration
• llama-index-vector-stores-weaviate — llama-index vector_stores weaviate integration
• llm-vm — An Open-Source AGI Server for Open-Source LLMs
• luxonis-ml — MLOps tools for training models for Luxonis devices
• lyzr — no summary
• minio-weaviate-langchain — A FastAPI application with Langchain, Weaviate, and MinIO integrations
• neumai — Package containing connectors for Neum AI.
• opencopilot-ai — OpenCopilot Backend
• oplangchain — langchain for OpenPlugin
• rag4p — This project I use a lot for workshops, it contains some utils for splitters, tokenizers, and a weaviate client that I reuse a lot
• ragwrangler — A simple RAG (Retrieval-Augumented Generation) Task Manager
• retake — Open Source Infrastructure for Vector Data Streams
• semantic-kernel — Semantic Kernel Python SDK
• st-weaviate-connection — A python package that provides a custom streamlit connection to query data from Weaviate, the AI native vector database
• super-rag — Super-performant RAG pipelines for AI apps
• testcontainers — Python library for throwaway instances of anything that can run in a Docker container
• unstructured — A library that prepares raw documents for downstream ML tasks.
• 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.
• vectordbs — A python library that supports all vector databases specifically for LLM apps and frameworks
• vesslflow — VESSLFlow
• wagtail-vector-index — Add your content to vector indexes for fast search and similarity matching.
• weaviate-classification — A weaviate python data classification module.
• weaviate-cli — Comand line interface to interact with weaviate
• weaviate-etl — A weaviate python data extract transform load module.
• weaviate-haystack — An integration of Weaviate vector database with Haystack
• weaviate-txtai — An integration of the weaviate vector search engine with txtai
• zf-cadmus — pd supercharges your development workflows