Best AI tools for< Query Knowledge Graphs >

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!

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.

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 converts natural language instructions into precise SQL and NoSQL queries, saving time and reducing errors. With features like text to SQL conversion, SQL query optimization, and SQL syntax correction, AI2SQL simplifies database design and enhances query performance. Trusted by over 50,000 active users, AI2SQL offers specialized tools for various database tasks, making complex operations quick and simple.

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.

Storytell.ai is an enterprise-grade AI platform that offers Business-Grade Intelligence across data, focusing on boosting productivity for employees and teams. It provides a secure environment with features like creating project spaces, multi-LLM chat, task automation, chat with company data, and enterprise-AI security suite. Storytell.ai ensures data security through end-to-end encryption, data encryption at rest, provenance chain tracking, and AI firewall. It is committed to making AI safe and trustworthy by not training LLMs with user data and providing audit logs for accountability. The platform continuously monitors and updates security protocols to stay ahead of potential threats.

Loata is an AI-powered platform that serves as a learning orchestrator for adaptive text analyses. It allows users to store their notes and documents in the cloud, which are then ingested and transformed into knowledge bases. The platform features smart AI agents powered by LLMs to provide intelligent answers based on the content. With end-to-end encryption and controlled ingestion, Loata ensures the security and privacy of user data. Users can choose from different subscription plans to access varying levels of storage and query capacity, making it suitable for individuals and professionals alike.

FileGPT is a powerful GPT-AI application designed to enhance your workflow by providing quick and accurate responses to your queries across various file formats. It allows users to interact with different types of files, extract text from handwritten documents, and analyze audio and video content. With FileGPT, users can say goodbye to endless scrolling and searching, and hello to a smarter, more intuitive way of working with their documents.

Resolvd is an AI-powered incident resolution platform that creates a knowledge base of logs, data sources, and apps to autonomously diagnose and resolve incidents. It helps reduce time to response, correlates events across data sources, and provides automated insights for faster issue resolution. With features like simple data querying, automated anomaly detection, and in-workflow integration with existing systems, Resolvd aims to streamline incident response processes and empower engineers with actionable insights.

PrivacyDoc is an AI-powered portal that allows users to analyze and query PDF and ebooks effortlessly. By leveraging advanced NLP technology, PrivacyDoc enables users to uncover insights and conduct thorough document analysis. The platform offers features such as easy file upload, query functionality, enhanced security measures, and free access to powerful PDF analysis tools. With PrivacyDoc, users can experience the convenience of logging in with their Google account, submitting queries for prompt AI-driven responses, and ensuring data privacy with secure file handling.

scatteredNote is an AI-powered note-taking application designed to help users effortlessly grab content and take notes while focusing on their main tasks. The application aims to make note-taking a seamless by-product of the user's main activities, ensuring minimal distraction. With features like Atomic Embrace mental model, Extended memory with AI integration, and simple UI, scatteredNote offers a user-friendly experience for organizing and accessing archived knowledge. The application supports various capture modes, including YouTube Capture, VS-Code Capture, Web-mode Capture, and Pdf-mode capture, along with AI chat and Ai-space repetition functionalities. Users can easily organize their notes, create flashcards, and access information quickly with the help of AI technology.

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.

Trampoline is an AI-native proposal manager designed for sales teams to streamline the process of creating sales proposals. It leverages AI technology to help businesses excel at handling RFPs efficiently, saving valuable time and resources. Trampoline's innovative approach includes 'content upcycling' to quickly prepare necessary information, onboard new team members rapidly, and facilitate knowledge sharing within the organization. With features like semantic search, direct query forwarding, and expert contributions, Trampoline aims to revolutionize the way sales proposals are created and managed.

AutoKT is an AI-powered application designed for Automatic Knowledge Transfer. It helps in effortless documentation by automatically writing and updating documentation, allowing users to focus on building innovative projects. The tool addresses the challenge of time and bandwidth spent on writing and maintaining documentation in agile workplaces. AutoKT ensures asynchronous knowledge transfer by keeping documentation in sync with code changes and providing a query feature for easy access to information. It is a valuable tool for developers, enabling them to understand legacy code, streamline documentation writing, and facilitate faster onboarding of new team members.

Echobase is an AI tool designed to easily integrate AI into businesses by allowing teams to query, create, and analyze data from their files. It offers advanced AI models tailored to specific business needs, enabling the creation of AI agents capable of tasks like basic Q&A, data analysis, and content creation. Echobase provides a centralized workspace for uploading and querying organizational knowledge bases in real-time, along with features for collaboration and role management. The tool prioritizes data security through robust encryption, API usage, and user-controlled data access.

AI Brain Bank is a powerful tool that allows you to remember everything. With AI Brain Bank, you can query all your documents, media, and knowledge with AI. This makes it easy to find the information you need, when you need it. AI Brain Bank is the perfect tool for students, researchers, and anyone else who needs to manage a large amount of information.

Leena AI is a Gen AI employee assistant that reduces IT, HR, Finance tickets. It guarantees a 70% self-service ratio in the contract. Leena AI centralizes knowledge that is scattered across the enterprise, making information easy to find right on chat with a simple query. The knowledge is auto-updated when changes are made, so your employees always get support that is both relevant and accurate. Leena AI integrates with all knowledge base systems within your enterprise from day one, eliminating the need for any consolidation or migration effort across the knowledge base systems. The work assistant tailors responses to employee queries based on their role, team and access level which boosts employee experience while adhering to security protocols and preventing unauthorized access to information. Leena AI analyzes historically closed tickets and learns from their resolutions to create knowledge articles that can prevent similar tickets from being raised again. Leena AI breaks down large policy documents and knowledge articles into consumable snippets so the responses are sharper and more specific to the employee’s query.

Floom.ai is an AI Marketplace for apps that allows users to easily add AI functions to their applications in just 5 minutes, without requiring any prior AI knowledge. The platform offers a variety of AI functions developed by the community, such as text translation, classification, summarization, keyword extraction, social media post generation, code explanation, code conversion, code improvement, physical address extraction, and SQL query generation. Floom.ai aims to empower developers and businesses to enhance their applications with AI capabilities through a user-friendly and efficient marketplace.

StartConvo is an AI tool that allows users to create custom AI chatbots for websites to enhance customer support, engagement, and user experience. The platform offers easy integration, intelligent query resolution, performance analytics, customizable responses, and 24/7 availability. Users can design tailored chatbots, connect to a knowledge base, and gain deep insights into customer interactions. StartConvo revolutionizes customer service by automating tasks, freeing up team members for high-value activities, and providing round-the-clock support.

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.

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.

This repo contains sample applications that show how to use Neo4j with the generative AI capabilities in Google Cloud Vertex AI. We explore how to leverage Google generative AI to build and consume a knowledge graph in Neo4j.

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.

GraphRAG Local with Interactive UI is an adaptation of Microsoft's GraphRAG, tailored to support local models and featuring a comprehensive interactive user interface. It allows users to leverage local models for LLM and embeddings, visualize knowledge graphs in 2D or 3D, manage files, settings, and queries, and explore indexing outputs. The tool aims to be cost-effective by eliminating dependency on costly cloud-based models and offers flexible querying options for global, local, and direct chat queries.

The 'awesome-ai4db-paper' repository is a curated paper list focusing on AI for database (AI4DB) theory, frameworks, resources, and tools for data engineers. It includes a collection of research papers related to learning-based query optimization, training data set preparation, cardinality estimation, query-driven approaches, data-driven techniques, hybrid methods, pretraining models, plan hints, cost models, SQL embedding, join order optimization, query rewriting, end-to-end systems, text-to-SQL conversion, traditional database technologies, storage solutions, learning-based index design, and a learning-based configuration advisor. The repository aims to provide a comprehensive resource for individuals interested in AI applications in the field of database management.

This repository focuses on exploring tools that enhance the performance of language models for various tasks. It provides a structured list of literature relevant to tool-augmented language models, covering topics such as tool basics, tool use paradigm, scenarios, advanced methods, and evaluation. The repository includes papers, preprints, and books that discuss the use of tools in conjunction with language models for tasks like reasoning, question answering, mathematical calculations, accessing knowledge, interacting with the world, and handling non-textual modalities.

Local-GenAI Search is a local generative search engine powered by the Llama3 model, allowing users to ask questions about their local files and receive concise answers with relevant document references. It utilizes MS MARCO embeddings for semantic search and can run locally on a 32GB laptop or computer. The tool can be used to index local documents, search for information, and provide generative search services through a user interface.

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.

llmgraph is a tool that enables users to create knowledge graphs in GraphML, GEXF, and HTML formats by extracting world knowledge from large language models (LLMs) like ChatGPT. It supports various entity types and relationships, offers cache support for efficient graph growth, and provides insights into LLM costs. Users can customize the model used and interact with different LLM providers. The tool allows users to generate interactive graphs based on a specified entity type and Wikipedia link, making it a valuable resource for knowledge graph creation and exploration.

LightRAG is a repository hosting the code for LightRAG, a system that supports seamless integration of custom knowledge graphs, Oracle Database 23ai, Neo4J for storage, and multiple file types. It includes features like entity deletion, batch insert, incremental insert, and graph visualization. LightRAG provides an API server implementation for RESTful API access to RAG operations, allowing users to interact with it through HTTP requests. The repository also includes evaluation scripts, code for reproducing results, and a comprehensive code structure.

FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph. Primary features: * Adopting the Property Graph Model * Nodes (vertices) and Relationships (edges) that may have attributes * Nodes can have multiple labels * Relationships have a relationship type * Graphs represented as sparse adjacency matrices * OpenCypher with proprietary extensions as a query language * Queries are translated into linear algebra expressions

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

Cosdata is a cutting-edge AI data platform designed to power the next generation search pipelines. It features immutability, version control, and excels in semantic search, structured knowledge graphs, hybrid search capabilities, real-time search at scale, and ML pipeline integration. The platform is customizable, scalable, efficient, enterprise-grade, easy to use, and can manage multi-modal data. It offers high performance, indexing, low latency, and high requests per second. Cosdata is designed to meet the demands of modern search applications, empowering businesses to harness the full potential of their data.

This repository provides a hands-on lab for learning about Neo4j and Google Cloud Vertex AI. It is intended for data scientists and data engineers to deploy Neo4j and Vertex AI in a Google Cloud account, work with real-world datasets, apply generative AI, build a chatbot over a knowledge graph, and use vector search and index functionality for semantic search. The lab focuses on analyzing quarterly filings of asset managers with $100m+ assets under management, exploring relationships using Neo4j Browser and Cypher query language, and discussing potential applications in capital markets such as algorithmic trading and securities master data management.

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.

Knowledge Graph Builder App is a tool designed to convert PDF documents into a structured knowledge graph stored in Neo4j. It utilizes OpenAI's GPT/Diffbot LLM to extract nodes, relationships, and properties from PDF text content. Users can upload files from local machine or S3 bucket, choose LLM model, and create a knowledge graph. The app integrates with Neo4j for easy visualization and querying of extracted information.

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.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

HippoRAG is a novel retrieval augmented generation (RAG) framework inspired by the neurobiology of human long-term memory that enables Large Language Models (LLMs) to continuously integrate knowledge across external documents. It provides RAG systems with capabilities that usually require a costly and high-latency iterative LLM pipeline for only a fraction of the computational cost. The tool facilitates setting up retrieval corpus, indexing, and retrieval processes for LLMs, offering flexibility in choosing different online LLM APIs or offline LLM deployments through LangChain integration. Users can run retrieval on pre-defined queries or integrate directly with the HippoRAG API. The tool also supports reproducibility of experiments and provides data, baselines, and hyperparameter tuning scripts for research purposes.

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

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.

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.

Aids in SPARQL queries for Semantic-Art's Gist Ontology

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

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.

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.