Best AI tools for< Query Graph Rag >

ChartFast is an AI Data Analyzer tool that automates data visualization and analysis tasks, powered by GPT-4 technology. It allows users to generate precise and sleek graphs in seconds, process vast amounts of data, and provide interactive data queries and quick exports. With features like specialized internal libraries for complex graph generation, customizable visualization code, and instant data export, ChartFast aims to streamline data work and enhance data analysis efficiency.

The Education Data Center (EDC) Version 2.0 is a platform dedicated to providing clear and timely access to education data for researchers and education stakeholders. It offers a State Assessment Data Repository, a leading database of state assessment data in the United States. Users can download data files, utilize a custom-made AI tool to query the data, and access information about the EDC. The platform aims to support evidence-based decision-making to enhance the educational support for the nation's students.

Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. It acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wiktionary, Wikisource, and others. Wikidata also provides support to many other sites and services beyond just Wikimedia projects!

Tablepad is an AI-powered data analytics tool that allows users to upload, view, and query data effortlessly. With Tablepad, users can generate insights and create charts without the need for coding skills. The tool supports various file formats and offers automated visual insights by generating graphs and charts based on plain English questions. Tablepad simplifies data exploration and visualization, making it easy for users to uncover valuable insights from their data.

Query Kitty is a Chrome extension that allows users to access ChatGPT from anywhere on the web. It provides a variety of features to help users get the most out of ChatGPT, including pre-written prompts, the ability to use web pages as context for prompts, and unlimited translations. Query Kitty is available in three plans: Starter, Basic, and Pro. The Starter plan is free and includes 60,000 words per month, the Basic plan costs $6 per month and includes 75,000 words per month, and the Pro plan costs $24 per month and includes 300,000 words per month. All plans come with a 3-day free trial.

Raw Query is a revolutionary tool that allows you to interact with your database using natural language, just like you would chat with a colleague. It's designed to save you time and effort, and make it easier than ever to access and manage your data. With Raw Query, you can query your data, add new data, and update your data, all through a simple chat interface. It's the perfect tool for anyone who wants to get more out of their data, without having to learn complex SQL queries or spend hours building custom tools.

AI Query is a powerful tool that allows users to generate SQL queries in seconds using simple English. With AI Query, anyone can create efficient SQL queries, without even knowing a thing about it. AI Query is easy to use and affordable, making it a great choice for businesses of all sizes.

Accio is a data modeling tool that allows users to define consistent relationships, metrics, and expressions for on-the-fly computations in reports and dashboards across various BI tools. It provides a syntax similar to GraphQL that allows users to define models, relationships, and metrics in a human-readable format. Accio also offers a user-friendly interface that provides data analysts with a holistic view of the relationships between their data models, enabling them to grasp the interconnectedness and dependencies within their data ecosystem. Additionally, Accio utilizes DuckDB as a caching layer to accelerate query performance for BI tools.

SQLPilot is an AI-first SQL editor that leverages artificial intelligence to help users quickly generate complex SQL queries. The tool supports multiple GPT models, offers SQL autocomplete, ensures privacy and security by not storing user data, and allows users to download query results in CSV format. With SQLPilot, users can write prompts in natural language, mention required tables, and let the AI model generate the query with all the necessary context. Testimonials from users highlight the tool's efficiency, accuracy, and time-saving capabilities in database management.

Doubtclear.ai is an AI-powered platform designed to provide personalized doubt clearing services to users. The platform leverages advanced artificial intelligence algorithms to analyze user queries and provide accurate and timely solutions. With a user-friendly interface, Doubtclear.ai aims to enhance the learning experience by offering instant clarification on a wide range of topics. Whether you are a student seeking academic assistance or an individual looking to expand your knowledge, Doubtclear.ai is your go-to solution for clearing doubts effectively.

QueryHub is an AI-powered web application designed to assist students in their academic endeavors. It provides a platform for users to ask and answer questions, collaborate with peers, and access instant and accurate information through AI chatbot assistance and smart search capabilities. QueryHub aims to empower students by offering a personalized learning experience, accelerating learning through document collaboration, and fostering community collaboration. With a user-friendly interface and a focus on user-driven innovation, QueryHub is a valuable tool for enhancing academic success.

AutoQuery GPT is a tool that allows users to ask questions to ChatGPT and get answers automatically. It provides users with time-saving and performance benefits. Users can use this site by using their own API key to ask questions to ChatGPT and save the answers as a file, using the Query Block and Query Excel features.

BixGPT is an AI-powered tool designed to supercharge product documentation by leveraging the power of private AI models. It offers features like AI-assisted release notes generation, data encryption, autodiscovery of Jira data, multi-format support, client notifications, and more. With BixGPT, users can create and manage release notes effortlessly while ensuring data privacy and security through the use of private AI models. The tool provides a seamless experience for generating release web pages with custom styling and analytics.

Code99 is an AI-powered platform designed to speed up the development process by providing instant boilerplate code generation. It allows users to customize their tech stack, streamline development, and launch projects faster. Ideal for startups, developers, and IT agencies looking to accelerate project timelines and improve productivity. The platform offers features such as authentication, database support, RESTful APIs, data validation, Swagger API documentation, email integration, state management, modern UI, clean code generation, and more. Users can generate production-ready apps in minutes, transform database schema into React or Nest.js apps, and unleash creativity through effortless editing and experimentation. Code99 aims to save time, avoid repetitive tasks, and help users focus on building their business effectively.

Equals is a next-generation analysis and reporting tool designed to help startups and businesses make better decisions with their data. It offers features such as live data connections, full-featured spreadsheets, and BI-grade dashboards. Equals bridges the gap between one-size-fits-all solutions and complex data platforms, providing users with a familiar and flexible environment for data exploration and reporting.

AI2SQL is an AI-powered SQL query builder and generator that allows users to create, optimize, and automate SQL queries without the need for expert skills. The tool transforms natural language instructions into precise SQL and NoSQL queries, simplifying database design and enhancing query performance. With features like text to SQL conversion, SQL query optimization, and formula generation, AI2SQL streamlines complex operations and provides data insights for efficient analysis.

Mikie.AI is an AI-powered tool that allows users to generate SQL queries in seconds using natural language. It simplifies the process of creating efficient SQL queries by leveraging AI technology. Users can define database schemas easily, translate SQL to English, and benefit from simple pricing plans. Mikie.AI aims to make SQL query generation error-free and accessible to all types of users, even those with limited SQL knowledge.

AnyAPI is an AI tool that allows users to easily add AI features to their products in minutes. With the ability to craft perfect GPT-3 prompts using A/B testing, users can quickly generate a live API endpoint to power their next AI feature. The platform offers a range of use cases, including turning emails into tasks, suggesting replies, and obtaining plain text JSON from GPT3. AnyAPI is designed to streamline the integration of AI capabilities into various products and services, offering a user-friendly experience for developers and businesses alike.

Monitr is a data visualization and analytics platform that allows users to query, visualize, and share data in one place. It helps in tracking key metrics, making data-driven decisions, and breaking down data silos to provide a unified view of data from various sources. Users can create charts and dashboards, connect to different data sources like Postgresql and MySQL, and collaborate with teammates on SQL queries. Monitr's AI features are powered by Meta AI's Llama 3 LLM, enabling the development of powerful and flexible analytics tools for maximizing data utilization.

SQL Builder is an AI-powered SQL query generator that allows users to easily generate complex SQL queries without writing any code. It offers a range of features such as a no-code SQL builder, SQL syntax explainer, SQL optimizer, SQL formatter, NoSQL query builder, and SQL syntax validator. SQL Builder supports various databases including MySQL, MariaDB, SQLite, PostgreSQL, Oracle, Microsoft SQL Server, MongoDB, BigQuery, Snowflake, and Amazon Redshift.

RAG with txtai is a Retrieval Augmented Generation (RAG) Streamlit application that helps generate factually correct content by limiting the context in which a Large Language Model (LLM) can generate answers. It supports two categories of RAG: Vector RAG, where context is supplied via a vector search query, and Graph RAG, where context is supplied via a graph path traversal query. The application allows users to run queries, add data to the index, and configure various parameters to control its behavior.

Build fast and accurate GenAI applications with GraphRAG SDK, a specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems. It integrates knowledge graphs, ontology management, and state-of-the-art LLMs to deliver accurate, efficient, and customizable RAG workflows. The SDK simplifies the development process by automating ontology creation, knowledge graph agent creation, and query handling, enabling users to interact and query their knowledge graphs effectively. It supports multi-agent systems and orchestrates agents specialized in different domains. The SDK is optimized for FalkorDB, ensuring high performance and scalability for large-scale applications. By leveraging knowledge graphs, it enables semantic relationships and ontology-driven queries that go beyond standard vector similarity, enhancing retrieval-augmented generation capabilities.

nano-GraphRAG is a simple, easy-to-hack implementation of GraphRAG that provides a smaller, faster, and cleaner version of the official implementation. It is about 800 lines of code, small yet scalable, asynchronous, and fully typed. The tool supports incremental insert, async methods, and various parameters for customization. Users can replace storage components and LLM functions as needed. It also allows for embedding function replacement and comes with pre-defined prompts for entity extraction and community reports. However, some features like covariates and global search implementation differ from the original GraphRAG. Future versions aim to address issues related to data source ID, community description truncation, and add new components.

TigerGraph CoPilot is an AI assistant that combines graph databases and generative AI to enhance productivity across various business functions. It includes three core component services: InquiryAI for natural language assistance, SupportAI for knowledge Q&A, and QueryAI for GSQL code generation. Users can interact with CoPilot through a chat interface on TigerGraph Cloud and APIs. CoPilot requires LLM services for beta but will support TigerGraph's LLM in future releases. It aims to improve contextual relevance and accuracy of answers to natural-language questions by building knowledge graphs and using RAG. CoPilot is extensible and can be configured with different LLM providers, graph schemas, and LangChain tools.

Awesome-Graph-LLM is a curated collection of research papers exploring the intersection of graph-based techniques with Large Language Models (LLMs). The repository aims to bridge the gap between LLMs and graph structures prevalent in real-world applications by providing a comprehensive list of papers covering various aspects of graph reasoning, node classification, graph classification/regression, knowledge graphs, multimodal models, applications, and tools. It serves as a valuable resource for researchers and practitioners interested in leveraging LLMs for graph-related tasks.

This repository provides a hands-on approach to Retrieval-Augmented Generation (RAG) techniques, simplifying advanced concepts into understandable implementations using Python libraries like openai, numpy, and matplotlib. It offers a collection of Jupyter Notebooks with concise explanations, step-by-step implementations, code examples, evaluations, and visualizations for various RAG techniques. The goal is to make RAG more accessible and demystify its workings for educational purposes.

Advanced RAG Techniques is a comprehensive collection of cutting-edge Retrieval-Augmented Generation (RAG) tutorials aimed at enhancing the accuracy, efficiency, and contextual richness of RAG systems. The repository serves as a hub for state-of-the-art RAG enhancements, comprehensive documentation, practical implementation guidelines, and regular updates with the latest advancements. It covers a wide range of techniques from foundational RAG methods to advanced retrieval methods, iterative and adaptive techniques, evaluation processes, explainability and transparency features, and advanced architectures integrating knowledge graphs and recursive processing.

Indexify is an open-source engine for building fast data pipelines for unstructured data (video, audio, images, and documents) using reusable extractors for embedding, transformation, and feature extraction. LLM Applications can query transformed content friendly to LLMs by semantic search and SQL queries. Indexify keeps vector databases and structured databases (PostgreSQL) updated by automatically invoking the pipelines as new data is ingested into the system from external data sources. **Why use Indexify** * Makes Unstructured Data **Queryable** with **SQL** and **Semantic Search** * **Real-Time** Extraction Engine to keep indexes **automatically** updated as new data is ingested. * Create **Extraction Graph** to describe **data transformation** and extraction of **embedding** and **structured extraction**. * **Incremental Extraction** and **Selective Deletion** when content is deleted or updated. * **Extractor SDK** allows adding new extraction capabilities, and many readily available extractors for **PDF**, **Image**, and **Video** indexing and extraction. * Works with **any LLM Framework** including **Langchain**, **DSPy**, etc. * Runs on your laptop during **prototyping** and also scales to **1000s of machines** on the cloud. * Works with many **Blob Stores**, **Vector Stores**, and **Structured Databases** * We have even **Open Sourced Automation** to deploy to Kubernetes in production.

GraphRAG Local Ollama is a repository that offers an adaptation of Microsoft's GraphRAG, customized to support local models downloaded using Ollama. It enables users to leverage local models with Ollama for large language models (LLMs) and embeddings, eliminating the need for costly OpenAPI models. The repository provides a simple setup process and allows users to perform question answering over private text corpora by building a graph-based text index and generating community summaries for closely-related entities. GraphRAG Local Ollama aims to improve the comprehensiveness and diversity of generated answers for global sensemaking questions over datasets.

HybridAGI is the first Programmable LLM-based Autonomous Agent that lets you program its behavior using a **graph-based prompt programming** approach. This state-of-the-art feature allows the AGI to efficiently use any tool while controlling the long-term behavior of the agent. Become the _first Prompt Programmers in history_ ; be a part of the AI revolution one node at a time! **Disclaimer: We are currently in the process of upgrading the codebase to integrate DSPy**

TrustGraph is a tool that deploys private GraphRAG pipelines to build a RDF style knowledge graph from data, enabling accurate and secure `RAG` requests compatible with cloud LLMs and open-source SLMs. It showcases the reliability and efficiencies of GraphRAG algorithms, capturing contextual language flags missed in conventional RAG approaches. The tool offers features like PDF decoding, text chunking, inference of various LMs, RDF-aligned Knowledge Graph extraction, and more. TrustGraph is designed to be modular, supporting multiple Language Models and environments, with a plug'n'play architecture for easy customization.

NVIDIA Generative AI Examples are state-of-the-art examples that are easy to deploy, test, and extend. All examples run on the high performance NVIDIA CUDA-X software stack and NVIDIA GPUs. These examples showcase the capabilities of NVIDIA's Generative AI platform, which includes tools, frameworks, and models for building and deploying generative AI applications.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. For more architecture details, see Milvus Architecture Overview. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently a graduate project under LF AI & Data Foundation.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Expert in generating and debugging Neo4j code, with explanations on graph database principles.

Looper query strings assistant

Getting ready to query agents or publishers? Upload your manuscript. I analyse your novel's writing style, themes and genre. I'll tell you how it's relevant to a modern audience, offer marketing insights and will even write you a draft synopsis and cover letter. I'll help you find relevant agents.

I conjure advanced Google search queries.

Enhances PubMed searches with MeSH and follow-up advice

The KQL Query Helper GPT is tailored specifically for assisting users with Kusto Query Language (KQL) queries. It leverages extensive knowledge from Azure Data Explorer documentation to aid users in understanding, reviewing, and creating new KQL queries based on their prompts.

Expert in brief, direct SQL queries for BigQuery, with casual professional tone.

Helps get map data from Open Street Map by generating Overpass Turbo queries. Ask me for mapping features like cafes, rivers or highways

Expert in Power Query and DAX for Power BI, offering in-depth guidance and insights

Create the most effective database or search engine queries using keywords, truncation, and Boolean operators!

Query BCorp company data. All data is publicly available. United Kingdom only (for now).

SQL query validator and educator, adaptable to user's format.

Supabase expert also supports query generation and Flutter code generation

I'm your guide for any query and information related to TikTok Ads. Let's build your new campaign together!

Answers in query language, adds Korean translation and phonetics for non-Korean queries.

Welcome to AIHelp.bot, your versatile assistant for any query. Whether it's a general knowledge question, a technical issue, or something more obscure, I'm here to help. Please type your question below, and I'll use my resources to find the best possible answer.

Knows the docs and can query official ordinal endpoints—Sat Numbers, Inscription IDs, and more.

Specializes in web searches for chat.openai.com using specific query format.

A sales enablement assistant for content creation and query resolution.

Amazon product shopping search, conveniently query products, get discounts and discounted products more quickly.