Reverse Dependencies of weaviate-client

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

• affine-vectordb — A unified interface for vector databases
• ai-db — Analyze your unstructured data
• apache-airflow-providers-weaviate — Provider package apache-airflow-providers-weaviate for Apache Airflow
• arm-rag-testing — no summary
• armenian-rag-test — no summary
• athina — Python SDK to configure and run evaluations for your LLM-based application
• AutoRAG — Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
• azureml-rag — Contains Retrieval Augmented Generation related utilities for Azure Machine Learning and OSS interoperability.
• bflower — A Python package with a built-in web application
• bl-vanna — Generate SQL queries from natural language
• bytetrade-recommend-model-sdk — no summary
• chatiq — A versatile Slack bot using GPT & Weaviate-powered long-term memory to accomplish various tasks.
• chatur-chains — LLM chatbot chains and logic for WILMA
• cognee — Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning.
• coupeutils — Library with utilities for projects.
• datastew — Intelligent data steward toolbox using Large Language Model embeddings for automated Data-Harmonization.
• 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.
• dfapp — A Python package with a built-in web application
• 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.
• dlt-dataops — 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
• dspy — DSPy
• dspy-ai-hmoazam — DSPy
• dsrag — State-of-the-art RAG pipeline from D-Star AI
• dynamiq — Dynamiq is an orchestration framework for agentic AI and LLM applications
• embedchain — Simplest open source retrieval (RAG) framework
• embedchain-101deploy — Simplest open source retrieval (RAG) framework
• embedchain-one — Simplest open source retrieval (RAG) framework
• embedchaincrewai — Simplest open source retrieval (RAG) framework
• escargot — Python package for ESCARGOT that enables solving elaborate problems with LLMs and Knowledge Graphs
• exponential — A Python package with a built-in web application
• extralit — Open-source tool for accurate & fast scientific literature data extraction with LLM and human-in-the-loop.
• 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
• gptdb — GPT-DB 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.
• h2ogpt — no summary
• heroes-ai-handler — A package for handling GPT, embeddings, and data for an AI Assistant.
• hydrate-minio-weaviate — A package to fetch, store, and process documents using MinIO and Weaviate.
• 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
• langflow-nightly — 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
• langtrace-python-sdk — Python SDK for LangTrace
• 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
• neo4j-genai — Python package to allow easy integration to Neo4j's GenAI features
• neo4j-graphrag — Python package to allow easy integration to Neo4j's GraphRAG features
• neumai — Package containing connectors for Neum AI.
• opencopilot-ai — OpenCopilot Backend
• oplangchain — langchain for OpenPlugin
• promptflow-vectordb — Prompt flow tools for accessing popular vector databases
• pyText2Sql — Generate SQL queries from natural language
• 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
• ragstack-ai-langflow — RAGStack Langflow
• 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
• swarmauri-community — Community version of the swarmauri framework
• testcontainers — Python library for throwaway instances of anything that can run in a Docker container
• text2sql-metadata-filterer — Generate SQL queries from natural language
• unstructured-cpu — A library that prepares raw documents for downstream ML tasks.
• unstructured-ingest — 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.
• vector-etl — Lightweight ETL Framework for 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
• verse-storage — Verse Storage Components
• vesslflow — VESSLFlow
• vital-ai-vitalsigns — VitalSigns knowledge graph bindings
• wagtail-vector-index — Add your content to vector indexes for fast search and similarity matching.
• weaviate-agent-demo — Demo project for sometimes (poorly) generating Python code for Weaviate
• weaviate-classification — A weaviate python data classification module.
• weaviate-cli — Command line interface to interact with weaviate
• weaviate-connection-pool — An efficient connection pool for Weaviate clients.