Reverse Dependencies of azure-search-documents

The following projects have a declared dependency on azure-search-documents:

• agentic-fleet — A powerful multi-agent system for adaptive AI reasoning and automation
• ai-enterprise-agent — AI Agent simplifies the implementation and use of generative AI with LangChain.
• ai-python — Microsoft AI Python Package
• ai-rag-chat-evaluator — Tools for evaluation of RAG Chat Apps using Azure AI Evaluate SDK and OpenAI
• alita-tools — Default set of tools and toolkits available within ELITEA Agents.
• autonomize-autorag — AutoRAG is a flexible and scalable solution for building Retrieval-Augmented Generation (RAG) systems.
• az-index-maker — A package to extract data from PDFs and upload to Azure Cognitive Search
• azure-ai-generative — Microsoft Azure Machine Learning Client Library for Python
• azure-ai-search-haystack — Haystack 2.x Document Store for Azure AI Search
• azureml-rag — Contains Retrieval Augmented Generation related utilities for Azure Machine Learning and OSS interoperability.
• bl-vanna — Generate SQL queries from natural language
• bytewax-azure-ai-search — Custom sink for Azure AI Search
• cognitive-space — The cognitive space package abstracts and stores Recall Space Cognitive Algorithms.
• commonsearchai — Fundamentals functions for azure search ai
• gerri — Giant Eagle Retrieval and Response Interface (Gerri) Library
• graphrag — GraphRAG: A graph-based retrieval-augmented generation (RAG) system.
• graphrag_fix — no summary
• graphrag-more — 基于微软GraphRAG，支持使用百度千帆、阿里通义、Ollama、字节豆包等大模型服务
• graphrag-with-trace — graphrag-with-trace
• langchain_1111_Dev_cerebrum — Building applications with LLMs through composability
• langchain-by-johnsnowlabs — 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
• literag — Call all RAG APIs using thee same format, Use Azure Search, OpenAI, Pinecone, etc.
• llama-index-readers-azcognitive-search — llama-index readers azcognitive_search integration
• llama-index-vector-stores-azureaisearch — llama-index vector_stores azureaisearch integration
• llama-index-vector-stores-cogsearch — llama-index vector_stores cogsearch integration
• naima-lab — Add your description here
• oplangchain — langchain for OpenPlugin
• pre-ai-python — Microsoft AI Python Package
• promptflow-vectordb — Prompt flow tools for accessing popular vector databases
• pytoolkit-solunegocios — no summary
• RRFI — A brief description of your project
• rrfi-scripts — Scripts for RRFI POC
• scrape-it-now — Web scraper made for AI and simplicity in mind. It runs as a CLI that can be parallelized and outputs high-quality markdown content.
• semantic-kernel — Semantic Kernel Python SDK
• simple-chatbot-lib — A simple package for create chatbots using LangChain
• 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.
• wonkaai — no summary
• wonkai — no summary
• yoneq-text2sql — Generate SQL queries from natural language