Best AI tools for< Graph Database Developer >

SOMA is a Research Automation Platform that accelerates medical innovation by providing up to 100x speedup through process automation. The platform collates and analyzes medical research articles, extracting important concepts and identifying causal and associative relationships between them. It organizes this information into a specialized database forming a knowledge graph. Researchers can retrieve causal chains, access specific research articles, and perform tasks like concept analysis, drug repurposing, and target discovery. SOMA enhances literature review by finding relevant articles based on the mechanism of action, saving time on organizing reviews and allowing researchers to focus on their own research. The platform offers freemium access with basic functionality for free indefinitely, with the option to subscribe to advanced features after a 14-day trial period.

OpenRead is an AI-powered research tool that offers a seamless research experience by providing access to a vast repository of over 300 million papers and trillions of web sources. It allows users to search for papers in real-time, gain valuable insights, and explore trending research topics effortlessly. With features like paper Espresso, Paper Q&A, and related Paper Graph, OpenRead aims to enhance research productivity and knowledge organization. The tool also offers the ability to disable web support for focused tasks and remembers chat history for easy reference.

Researcher.Life is a comprehensive research support platform that provides AI-powered tools and expert publication services to empower researchers at every stage of their journey. With a suite of advanced AI tools, including Paperpal, R Discovery, and Mind the Graph, Researcher.Life helps researchers write better, discover relevant literature, create stunning scientific illustrations, and find the right journals for their work. Additionally, Researcher.Life offers expert publication services from Editage, ensuring that manuscripts are polished and ready for publication. By combining AI technology with human expertise, Researcher.Life simplifies complex research tasks, saves time, and accelerates the path to success for researchers worldwide.

Context Data is an enterprise data platform designed for Generative AI applications. It enables organizations to build AI apps without the need to manage vector databases, pipelines, and infrastructure. The platform empowers AI teams to create mission-critical applications by simplifying the process of building and managing complex workflows. Context Data also provides real-time data processing capabilities and seamless vector data processing. It offers features such as data catalog ontology, semantic transformations, and the ability to connect to major vector databases. The platform is ideal for industries like financial services, healthcare, real estate, and shipping & supply chain.

The website is an AI tool designed to generate a knowledge graph based on input text. It uses advanced algorithms and machine learning capabilities to streamline operations, deliver personalized experiences, and unlock new possibilities. Users can input text related to various topics, and the tool processes the information to create a structured knowledge graph.

Quanty is an AI-driven financial knowledge graph application that provides market insights on crypto and stocks news through advanced algorithms and knowledge graphs. It offers a GraphQL API for deep market understanding, smart data classification, current market insights, entity and relationship extraction, and dynamic GraphQL access. Users can access a wide range of financial news, insights, and analytics seamlessly through Quanty's robust GraphQL API.

Derwen is an open-source integration platform for production machine learning in enterprise, specializing in natural language processing, graph technologies, and decision support. It offers expertise in developing knowledge graph applications and domain-specific authoring. Derwen collaborates closely with Hugging Face and provides strong data privacy guarantees, low carbon footprint, and no cloud vendor involvement. The platform aims to empower AI engineers and domain experts with quality, time-to-value, and ownership since 2017.

RabbitHoles AI is an advanced AI tool that allows users to engage in long explorative conversations with AI models on an Infinite Canvas. By controlling the conversation thread, users can prevent models from hallucinating, enabling them to match the speed of their curiosity, learn faster, go deeper, and discover more. The tool is used by individuals at top organizations like Open AI, Google, and Qualcomm, offering a simple one-time purchase with no monthly fees and free updates and support for a year.

SheetBot AI is an AI data analyst tool that enables users to analyze data quickly without the need for coding. It automates repetitive and time-consuming data tasks, making data visualization and analysis more efficient. With SheetBot AI, users can generate accurate and visually appealing graphs in seconds, streamlining the data analysis process.

VIVA is an AI-powered creative visual design platform that aims to bring every moment to life. It provides users with tools and features to create visually appealing designs effortlessly. With VIVA, users can unleash their creativity and design stunning visuals for various purposes such as social media posts, presentations, and marketing materials. The platform leverages artificial intelligence to streamline the design process and help users achieve professional-looking results without the need for advanced design skills.

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.

Capital Companion is an AI-powered trading and investing platform designed to provide users with a competitive edge in the markets. The platform offers a range of features including 24/7 AI assistant support, intelligent trading recommendations, risk analysis tools, real-time stock analytics, market sentiment analysis, and pattern recognition for technical analysis. By leveraging artificial intelligence, Capital Companion aims to help traders make well-informed decisions and protect their investments in a dynamic market environment.

Floneum is a versatile AI-powered tool designed for language tasks. It offers a user-friendly interface to build workflows using large language models. With Floneum, users can securely extend functionality by writing plugins in various languages compiled to WebAssembly. The tool provides a sandboxed environment for plugins, ensuring limited resource access. With 41 built-in plugins, Floneum simplifies tasks such as text generation, search engine operations, file handling, Python execution, browser automation, and data manipulation.

UPTO3 is a decentralized event knowledge graph protocol that aims to provide consensus verification for Web3 events by turning them into NFTs. It allows users to mint and verify events, with rewards based on the results. The platform promotes transparency, open data, and unbiased analysis through economic incentives. UPTO3 will be built on Blast(L2) and offers features such as event minting as NFTs, permissionless access, and decentralized validation tasks.

Metabob is an AI-powered code review tool that helps developers detect, explain, and fix coding problems. It utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them, combining the best of both worlds. Metabob's AI is trained on millions of bug fixes performed by experienced developers, enabling it to detect complex problems that span across codebases and automatically generate fixes for them. It integrates with popular code hosting platforms such as GitHub, Bitbucket, Gitlab, and VS Code, and supports various programming languages including Python, Javascript, Typescript, Java, C++, and C.

Zelma is an AI-powered research assistant that enables users to find, graph, and understand U.S. school testing data using plain English. It allows users to search student test data by school district, demographics, grade, and more, and presents the data with graphs, tables, and descriptions. Zelma aims to make education data easily accessible and understandable for everyone.

Factori is a data intelligence platform designed for an AI-first world, offering a wide range of products and datasets to empower businesses with advanced data insights. It enables users to uncover movement trends, reach customers effectively, drive data-driven insights, personalize experiences, and target the right consumers with unique segments. Factori is trusted by global businesses for all their data requirements, providing high-quality data to improve predictive and causal models.

NOLEJ is an AI-powered platform that helps instructional designers and teachers rapidly generate interactive eLearning material. It can automatically generate interactive content from existing learning materials, such as textbooks, videos, and online media resources. NOLEJ also offers a variety of interactive formats, including interactive videos, flashcards, glossaries, crosswords, drag-and-drop activities, find-the-word puzzles, and interactive books.

Goover is a personalized AI research agent that streamlines the process of acquiring knowledge by providing self-driving experiences. It offers users the ability to dive deeper into various topics through curated briefings, reports, and insights. Goover utilizes advanced AI technology to deliver tailored answers, identify key information, and facilitate meaningful discussions. Users can access knowledge anytime, anywhere through the mobile app, ensuring they stay informed and engaged with their passions. With Goover, users can track specific topics, receive automatic updates, and explore diverse perspectives effortlessly.

Math Sniper is an AI-powered application designed to provide precise math solutions, exam preparation assistance, and exploration of mathematical concepts. The app offers step-by-step solutions to math challenges at all levels, connects users with math tutors for personalized help, and covers a wide range of subjects beyond mathematics, such as biology, chemistry, physics, history, economics, and language tasks. With features like Snap & Ask for instant answers, step-by-step explanations, and a user-friendly interface, Math Sniper aims to enhance users' understanding of complex concepts and facilitate learning in various disciplines.

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

hugegraph-ai aims to explore the integration of HugeGraph with artificial intelligence (AI) and provide comprehensive support for developers to leverage HugeGraph's AI capabilities in their projects. It includes modules for large language models, graph machine learning, and a Python client for HugeGraph. The project aims to address challenges like timeliness, hallucination, and cost-related issues by integrating graph systems with AI technologies.

The Neo4j GenAI Workshop repository contains notebooks for a workshop focusing on building a Neo4j Graph, text embedding, and providing demos for content generation. The workshop includes data staging, loading, and exploration using Cypher queries. It also covers improvements in LLM response quality, GPT-4 usage, and vector search speed. The repository has undergone multiple updates to enhance course quality, simplify content, and provide better explainers and examples.

Gel is a graph-relational database that combines the best parts of relational databases, graph databases, and ORMs. It introduces a new way of schema modeling with object types, properties, and links. Gel's query language, EdgeQL, produces structured objects and supports features like subqueries and nested mutations. It offers a comprehensive standard library, computed properties, transactions, and more. Gel is not just a mapper but a full-fledged database with a powerful query language, migrations system, client libraries, and a CLI. The goal is to revolutionize how developers model, migrate, manage, and query their database.

Fractl is a programming language designed for generative AI, making it easier for developers to work with AI-generated code. It features a data-oriented and declarative syntax, making it a better fit for generative AI-powered code generation. Fractl also bridges the gap between traditional programming and visual building, allowing developers to use multiple ways of building, including traditional coding, visual development, and code generation with generative AI. Key concepts in Fractl include a graph-based hierarchical data model, zero-trust programming, declarative dataflow, resolvers, interceptors, and entity-graph-database mapping.

AgentLang is an open-source programming language and framework designed for solving complex tasks with the help of AI agents. It allows users to build business applications rapidly from high-level specifications, making it more efficient than traditional programming languages. The language is data-oriented and declarative, with a syntax that is intuitive and closer to natural languages. AgentLang introduces innovative concepts such as first-class AI agents, graph-based hierarchical data model, zero-trust programming, declarative dataflow, resolvers, interceptors, and entity-graph-database mapping.

This repository contains advanced LLM-based chatbots for Retrieval Augmented Generation (RAG) and Q&A with different databases. It provides guides on using AzureOpenAI and OpenAI API for each project. The projects include Q&A and RAG with SQL and Tabular Data, and KnowledgeGraph Q&A and RAG with Tabular Data. Key notes emphasize the importance of good column names, read-only database access, and familiarity with query languages. The chatbots allow users to interact with SQL databases, CSV, XLSX files, and graph databases using natural language.

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

This repository contains the official Neo4j GenAI features for Python. The purpose of this package is to provide a first-party package to developers, where Neo4j can guarantee long-term commitment and maintenance as well as being fast to ship new features and high-performing patterns and methods.

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.

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**

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

Code-graph is a tool composed of FalkorDB Graph DB, Code-Graph-Backend, and Code-Graph-Frontend. It allows users to store and query graphs, manage backend logic, and interact with the website. Users can run the components locally by setting up environment variables and installing dependencies. The tool supports analyzing C & Python source files with plans to add support for more languages in the future. It provides a local repository analysis feature and a live demo accessible through a web browser.

A repository providing basic concepts, technical challenges, and resources on data engineering in Spanish. It is a curated list of free, Spanish-language materials found on the internet to facilitate the study of data engineering enthusiasts. The repository covers programming fundamentals, programming languages like Python, version control with Git, database fundamentals, SQL, design concepts, Big Data, analytics, cloud computing, data processing, and job search tips in the IT field.

MyScaleDB is a SQL vector database designed for scalable AI applications, enabling developers to efficiently manage and process massive volumes of data using familiar SQL. It offers fast and efficient vector search, filtered search, and SQL-vector join queries. MyScaleDB is fully SQL-compatible and production-ready for AI applications, providing unmatched performance and scalability through cutting-edge OLAP architecture and advanced vector algorithms. Built on top of ClickHouse, it combines structured and vectorized data management for high accuracy and speed in filtered searches.

MyScaleDB is a SQL vector database optimized for AI applications, enabling developers to manage and process massive volumes of data efficiently. It offers fast and powerful vector search, filtered search, and SQL-vector join queries, making it fully SQL-compatible. MyScaleDB provides unmatched performance and scalability by leveraging cutting-edge OLAP database architecture and advanced vector algorithms. It is production-ready for AI applications, supporting structured data, text, vector, JSON, geospatial, and time-series data. MyScale Cloud offers fully-managed MyScaleDB with premium features on billion-scale data, making it cost-effective and simpler to use compared to specialized vector databases. Built on top of ClickHouse, MyScaleDB combines structured and vector search efficiently, ensuring high accuracy and performance in filtered search operations.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

YAO is an open-source application engine written in Golang, suitable for developing business systems, website/APP API, admin panel, and self-built low-code platforms. It adopts a flow-based programming model to implement functions by writing YAO DSL or using JavaScript. Yao allows developers to create web services by processes, creating a database model, writing API services, and describing dashboard interfaces just by JSON for web & hardware, and 10x productivity. It is based on the flow-based programming idea, developed in Go language, and supports multiple ways to expand the data stream processor. Yao has a built-in data management system, making it suitable for quickly making various management backgrounds, CRM, ERP, and other internal enterprise systems. It is highly versatile, efficient, and performs better than PHP, JAVA, and other languages.

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

Diagram creation: flowcharts, mindmaps, UML, chart, PlotUML, workflow, sequence, ERD, database & architecture visualization for code, presentations and documentation. [New] Add a logo or any image to graph diagrams. Easy Download & Edit

Meet Tech Guru, your go-to AI for data engineering, coding expertise, and graph databases. Combining humor, reliability, and approachability to simplify tech with a personal touch.

Open Domain Relation Extractor

I craft PowerShell scripts for Microsoft Graph.

Converts graph triples to clear text, no assumptions.

Specialist in creating diagrams and graphs based on user requests

Japanese patent data graph generator with user engagement

Detailed technical diagram and graph assistant

Maps PM skills to competencies, plots on radar graph.

Expert in Micro Economics, interprets graphs, explains concepts, avoids direct exam answers.

Educational guide for understanding algebra principles and equations.

IntegriPal: Your friendly integral calculus guide!

Creates schedules, charts, or graphs based on user inputs.

Expert in schema.org, guiding precise use of 'additionalType'.

Provide a hand-drawing or screenshot of your desired plot along with the data and I'll make the plot.

Obsidian wine log assistant with code block outputs

💎 The worlds greatest data analysis tool 💎

Propagation Analysis over Graphs

Ask: "What graphs can you create from MY pee times data file (.xlsx)?" Show to your Urologist.