Neo4j Knowledge Graph Research Agent

@raheelkxoftech

Greetings, With over 15 years of experience in Microsoft technologies and enterprise solution delivery, I am confident I can design and implement the AI-driven research agent you described, with SharePoint serving as the central internal data platform. For this project, I can deliver a two-agent architecture: -External Research Agent to collect and structure data from internet sources (market, competitor, or industry intelligence). -Internal Research Agent tightly integrated with SharePoint, capable of securely accessing multiple CSV files from document libraries, consolidating them, and performing white space / gap analysis across datasets. Using Power Automate, Power Apps, Power BI, Azure Functions, and custom C# / Python services, I can orchestrate the full workflow from data ingestion and analysis to automated generation of CSV, PDF, or DOC reports, stored back in SharePoint with proper access controls. I have successfully led and delivered enterprise-grade SharePoint and Microsoft 365 solutions for organizations including: -Ministry of Education – Dubai -Ministry of Social Affairs – Dubai -Public Portal for Emirates Airline -Ministry of Finance Diplomatic Institute Qatar -Office 365 Portal for Logical Outcomes Canada Let’s connect to align on requirements and next steps. Rahim

@megauravpanwar

With a solid foundation in data-centric technologies and substantial experience as a Full Stack Developer, specializing in Agentic AI, Chatbots, and Data Science – I am well-equipped to tackle your Neo4j Knowledge Graph Research Agent project. My extensive database administration skills are specifically relevant to your project scope which involves CSV data retrieval and white space analysis. Throughout my career, I have gained expertise in multiple programming languages such as Python which is essential for automating the collection of real-time external information for your agent and its analysis with the internal data sources available on SharePoint. Moreover, while managing and utilizing diverse databases like MySQL, PostgreSQL, MongoDb - I have acquired skills that can be utilized to combine the extracted data into comprehensive formats (PDF/DOC/CSV) as per your preference. My proficiency in cloud integration and deployment using AWS (EC2, S3, Lambda) will come in handy for smoothly integrating these comprehensive results to easily accessible formats. Also worth mentioning is my experience building and tailoring WordPress websites - a stepping stone indicating my competence to deliver projects with an underlined combination of quality functionality blended with high-impact aesthetics. Thank you for considering my candidacy — let’s discuss how I can turn your unique vision into a reality!

@hananea0

As an experienced AI Engineer, I have the essential skills required to build your Neo4j Knowledge Graph Research Agent. With specialization in LLM applications, data engineering, and AI agents, I have developed a strong foundation in creating efficient AI-powered solutions. My repertoire includes building production-ready chatbots, automating workflows, designing knowledge graph solutions, and optimizing model performance - all of which align perfectly with the requirements of your project. Furthermore, my skills extend to AI-powered data analysis and NLP solutions. This means that not only can I create an external agent capable of collecting information from the internet relevant to your research needs but also an internal agent proficient in analyzing multiple CSVs present in sharepoint and conducting whitespace analysis. The ability to convert these results into CSVs or other common formats for user-friendly accessibility completes the circle of your project's particular needs and requirements. With thorough planning, swift execution, security prioritization, and well-documented solutions being major tenets of my work ethic, you can be rest assured of a high-quality finished product within optimal time-frame. Let’s bring your unique AI project to life!

@toni8810

Hi, I can build a scalable research agent that combines external web research with internal enterprise data analysis, unified through a Neo4j knowledge graph for powerful insights and white-space analysis. Proposed Solution External Research Agent: Collects and structures relevant data from the internet (APIs, scraping where allowed), normalizing it into graph-ready entities. Internal Data Agent: Ingests multiple CSV files from SharePoint, cleans and maps data into Neo4j. Knowledge Graph (Neo4j): Links external + internal data to uncover relationships, gaps, and opportunities. White Space Analysis Engine: Identifies missing links, underrepresented areas, and trends. Reporting Layer: Export results in CSV, PDF, or DOC formats based on user selection. Clean, extensible architecture suitable for future data sources or analytics. Timeline Timeline unknown at this stage due to missing technical details. Clarifying Questions Expected data volume (CSV size, number of files)? Preferred language/stack (Python, Java, Node)? Web data sources: APIs, scraping, or both? Neo4j deployment: Aura, self-hosted, or existing instance? Type of white space analysis expected (rules-based, statistical, AI-assisted)? Any authentication requirements for SharePoint and reporting access? Once clarified, I can provide a precise timeline and delivery plan. Looking forward to collaborating on this ?

@nadasalem155

Hello, I am excited to submit my proposal for building the Knowledge Graph Research Agent. I have experience in Neo4j, Python, data processing, and SharePoint integration, which aligns well with the project requirements. My Approach & Scope: External Agent: Collects information from the internet automatically. Internal Agent: Reads multiple CSV files from SharePoint, performs white space analysis, and identifies gaps. Data Integration: Combine internal and external data into a Neo4j knowledge graph. Output: Generate user-ready reports in CSV, PDF, or DOC formats. Technology & Skills: Neo4j for graph representation Python for data processing and automation SharePoint integration for accessing CSVs Data analysis, visualization, and reporting Timeline: 2–3 weeks for Phase 1, including setup, integration, and testing. Budget: ₹5,000–7,000 INR (negotiable based on final scope). I am confident in delivering a scalable, maintainable, and production-ready research agent that meets your requirements. Best regards, Nada