AI WhatsApp Chatbot with Hexabot & Wiki Integration

@Hubready

Hello!, I am a Florida-based senior software engineer with extensive experience in AI automation and chatbot development. I've carefully read your project description about building an AI WhatsApp chatbot integrated with a wiki knowledge base using Hexabot, and I believe I am the right fit for this project. With over 15 years in the field, I have a strong background in Node.js, PostgreSQL, and API integration, ensuring that I can deliver a robust solution tailored to your needs. My experience includes developing intelligent workflow automation and integrating LLMs like OpenAI, which aligns perfectly with your project goals. To better understand your vision, could you please clarify the following questions to help me better understand the project? 1. What specific functionalities do you envision for the chatbot in relation to the wiki knowledge base? 2. Are there any particular user scenarios or target audiences we should consider during development? I suggest starting with a clear project outline, followed by a phased approach: initial design, development, testing, and deployment. This ensures we stay aligned at every step and deliver a product that meets your expectations. I’m eager to bring your vision to life and would love to discuss this further. -James

@anirudhat

Hi, I've built RAG-powered chatbots with WhatsApp integration before and have hands-on experience with Hexabot AI's plugin architecture, including its NLU engine and channel connectors. For your project, I'll set up Hexabot with the WhatsApp Business API channel, build a custom RAG plugin that indexes your Wiki content into a vector store for semantic retrieval, and wire up an LLM layer to generate grounded responses. For the Google Drive-to-Wiki pipeline, I'll create a scheduled workflow using Google Drive API webhooks and batch processing to extract, transform, and sync documents into your Wiki automatically. I can start immediately and would love to discuss the specifics of your Wiki platform and Drive folder structure.

@onkarkulkarni8

Hello, your "AI WhatsApp Chatbot with Hexabot & Wiki Integration" project is right in my wheelhouse. I build modern JavaScript apps end to end — React/Vue/Next on the front and Node/Express on the back, in TypeScript where it helps. Working with node.js, postgresql, docker, api integration, openai, prompt engineering, ai chatbot development, vector databases, I focus on responsive, fast UIs, clean component structure, and reliable APIs — no page-builder shortcuts. I'll lock down the scope and key flows first, then ship in reviewable increments. Let's hop on a quick chat to align on your requirements? ⭐ 5.0/5 from a recent client: "Excellent work by the developer! They built my Video Trimmer website exactly as I wanted. The website is fast, user-friendly, and works smoothly. Communication was clear throughout the project, and…" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@ZohaibRoy

⭐⭐⭐⭐⭐ Build an AI WhatsApp Chatbot Integrated with a Wiki Knowledge Base ❇️ Hi My Friend, I hope you're doing well. I reviewed your project requirements and see you are looking for an experienced developer to build an AI-powered WhatsApp chatbot. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for chatbot development. I will use Hexabot AI to create a seamless integration with your Wiki knowledge base and Google Drive. ➡️ Why Me? I can easily create your AI WhatsApp chatbot as I have 5 years of experience in chatbot development, API integrations, and automation. My expertise includes Node.js, TypeScript, and various Wiki platforms. I also have a strong grip on Google Drive API and RAG implementation, ensuring a solid foundation for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Hexabot AI ✅ Node.js ✅ TypeScript ✅ Google Drive API ✅ WhatsApp Business API ✅ RAG Implementation ✅ Wiki Integration ✅ Vector Databases ✅ Docker ✅ REST APIs ✅ Background Jobs ✅ Good Documentation Waiting for your response! Best Regards, Zohaib

@craigd43

As an experienced developer with a knack for AI chatbot development and proficient in Node.js, building an AI WhatsApp chatbot with Hexabot and Wiki integration is right up my alley. I have a solid understanding of Hexabot AI and have actively contributed to the Hexabot repository, so you can trust me in handling the architecture, workflows, plugins, and other crucial aspects of this project. On the communications front, I'm well-versed in integrating applications with WhatsApp through services like WhatsApp Business Cloud API and Twilio WhatsApp API. I assure you that once I connect the chatbot with your chosen knowledge-base Wiki, it'll ably handle all user queries using RAG system to yield accurate responses. Moreover, owing to my strong background in web scraping and Google Drive API integration, I can effortlessly design the scheduled workflow that would extract data from your Google Drive and populate the Wiki. My experience with vector databases such as Qdrant, Weaviate, Pineco makes me particularly qualified for guaranteeing that the chatbot is fueled by a rich knowledge base. All-in-all, my proficiency in critical technologies paired with my results-oriented approach to projects makes me an ideal fit for this task. With me on board, you're guaranteed high-quality code delivery on time while ensuring client expectations are exceeded throughout the process.

@ashinnd84

Hello there, we are a team of senior AI Automation Software developers and we can do this project in no time. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@extreamcode

Hi, As an AI and Digital Solutions Engineer with 15+ years of experience, I am deeply invested in staying on top of emerging technologies, particularly the field of AI, which has fueled my interest in Hexabot AI. My extensive portfolio includes API Integration, Node.js expertise, REST APIs and webhooks which are a perfect match for the project requirements. Consequently, this allows me to effectively configure the WhatsApp channel and create chatbot workflows - integral components of the project. In addition to my mastery in Hexabot AI, I'm also proficient in Google Drive API, a key requirement of this project. My familiarity with extracting content from Google Drive using various file formats such as Google Docs, PDFs, DOCX, TXT or Markdown will significantly contribute towards maintaining a well-organized knowledge base within the selected Wiki solution. I am adept in extracting text from such files while retaining their basic formatting. Moreover, having experience working across different CRM setups and business apps, I understand the importance of efficient content management and automation workflows. This skillset can be relevant when it comes to keeping your knowledge base up-to-date and in sync with any changes happening in Google Drive files. This would combine well with my appreciation for efficient communication, business-focused problem-solving and a commitment to deliver scalable implementations throughout the life-cycle of projects. Thanks!

@NEHABHAT92

As an experienced developer with a strong background in AI chatbot development and Node.js, I believe I can provide the best solution for your WhatsApp chatbot project. In particular, my skillset aligns perfectly with project requirements to leverage Hexabot AI for its retrieval augmented generation system (RAG), a crucial aspect of this chatbot's ability to accurately and contextually respond to user queries from your Wiki-based knowledge base. Not only do I understand the Hexabot architecture, but I also have an extensive grasp on the workflows, channels, plugins, actions, and AI agent required to make this project successful. Your project needs someone who can be creative and problem-solve when necessary – two attributes essential to my work philosophy. Be it local setup or server migration, configuring the WhatsApp channel or integrating other reliable providers like Twilio - I've got you covered. In addition to my adeptness with Hexabot AI and Node.js, I also have strong skills in extracting content programmatically using APIs. Consequently, I am confident in developing the scheduled workflow that will extract content from Google Drive and populate your API-friendly Wiki seamlessly. Moreover, drawing from my experience across various CMS driven projects, I understand how important it is to maintain data integrity and organization; thus, ensuring no duplica

@emilesd617

Hi, I am a full-stack AI developer with 8 years of rich experience. I am familiar with Node.js, TypeScript, OpenAI API, Docker, and RAG-based AI Chatbot systems. For this project, the most important part is building a stable Hexabot-based architecture where WhatsApp, Wiki knowledge base, and RAG pipeline work together smoothly. I can set up Hexabot, integrate WhatsApp Business API, connect Google Drive automated sync to a Wiki system, and build a vector-based RAG pipeline so the chatbot answers only from verified knowledge. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@sjohn117

Hi, I'm Sean, an AI & Full-Stack Developer with over 10 years of experience in building advanced AI solutions and chatbots. I understand that you need an AI WhatsApp chatbot integrated with a Wiki knowledge base using Hexabot AI, focusing on Retrieval-Augmented Generation (RAG). My experience includes implementing chatbot workflows and integrating with various APIs, including Google Drive and Wiki platforms. I have successfully developed similar projects where I combined RAG techniques with established knowledge bases, ensuring accurate responses and seamless user experiences. For this project, I will set up Hexabot, configure your chosen WhatsApp API, and establish a scheduled workflow to extract and populate the Wiki from Google Drive. My approach emphasizes clean code, thorough testing, and comprehensive documentation, ensuring a reliable and maintainable system. I can deliver the initial working milestone within one week. Could you specify which Wiki platform you prefer for integration, or should I recommend one based on your requirements? Thanks, Sean

@jaroslavcaprata

Hi, there. I have experience building AI-powered chatbot platforms that combine RAG pipelines, vector databases, document ingestion workflows, API integrations, and multi-channel messaging systems. I have worked with knowledge-driven assistants that synchronize content from external sources, process documents automatically, and deliver accurate responses through conversational interfaces while maintaining scalability and maintainability. For your project, I will configure and customize Hexabot, integrate WhatsApp messaging, establish a structured Wiki-based knowledge base, and build an automated Google Drive synchronization workflow that keeps content current without manual effort. I will implement a RAG architecture with document chunking, embeddings, semantic retrieval, and controlled response generation to ensure answers remain grounded in the available knowledge. My approach focuses on clean architecture, reliable synchronization, comprehensive logging, clear documentation, and extensibility so the platform can grow as new content and workflows are added. Thank you, Jaroslav Caprata

@mugencodes

Hello, I understand the importance of creating an AI WhatsApp chatbot integrated with a Wiki to enhance user experience and streamline information retrieval. Leveraging my expertise in Node.js, API integration, AI chatbot development, Docker, OpenAI, PostgreSQL, Prompt Engineering, and Vector Databases, I am confident in delivering a robust solution tailored to your project requirements. By utilizing Hexabot AI and implementing a structured workflow, I will ensure seamless content extraction from Google Drive, automatic population of the Wiki, and accurate responses generated by the chatbot using RAG. My experience with similar projects and familiarity with the tools and technologies involved make me well-equipped to handle the complexities of this task effectively. I am eager to discuss further details and collaborate on this project to achieve your objectives successfully. Your satisfaction is my priority, and I am committed to delivering a high-quality solution that meets your expectations. Best regards, Jayabrata Bhaduri

@temoberishvili

Building an AI WhatsApp Chatbot sounds like an engaging project, especially with the integration of a Wiki knowledge base. I noticed you're looking for skills in Node.js, PostgreSQL, and API integration, which aligns perfectly with my experience. Your main goal of creating a responsive and informative chatbot is crucial for enhancing user interaction. I have around 10 years of experience in developing chatbots and integrating AI technologies, which will help in crafting a solution that meets your needs. Some similar things I've built include a regional booking platform for a tutoring company, an internal CRM for a property agency, and a React Native field-reporting app. Let’s make this chatbot project a success. Could you please clarify the following questions to help me better understand the project? Q1: What specific features do you envision for the chatbot's interaction with the Wiki knowledge base? Q2: Are there any particular user scenarios or edge cases you want to prioritize in the chatbot's design? Q3: How do you plan to handle updates or maintenance for the Wiki content integrated into the chatbot?

@zeeshanmcp12

Client Objective: Develop an AI WhatsApp Chatbot integrated with a Wiki Knowledge Base using Hexabot AI for efficient user query responses. Approach: Utilize Hexabot AI to build the chatbot, integrate with a chosen Wiki platform, establish Google Drive content extraction workflow, and implement RAG for accurate responses. Relevant Experience: Proficient in Hexabot AI setup, customization, WhatsApp integration, and Wiki knowledge base integration, ensuring seamless operation. Thank you.

@shibbuquadir

As a seasoned developer at Paper Perfect, I bring to the table not only an understanding of front-end and back-end technologies including React, Angular, and Node.js – perfect for this project’s needs – but also a sincere commitment to quality. I understand the imperative nature of your project – seamlessly connecting Hexabot AI with WhatsApp using RAG and integrating with a Wiki Knowledge Base – and assure you that I have the skills, experience, and dedication to undertake it effectively. My familiarity with API integrations and Node.js aligns directly with the main requirements of your project. For example, I'm well-versed in setting up Hexabot AI locally or on servers, configuring Whatsapp channels, creating chatbot workflows, implementing custom actions when necessary, and connecting the chatbot to the knowledge base. Additionally, my experience in connecting G-drive APIs in conjunction with scheduled workflows will ensure efficient extraction of content from Google Drive which will then be accurately updated in your chosen Wiki platform.  For the RAG component of the chatbot, my comfort dealing with vectors databases (like Qdrant, Weaviate), embeddings, semantic search and more will guarantee that WhatsApp users' queries are answered contextually based on well-integrated knowledge from the wiki system. My skills will encompass every element of this well-rounded design integrated specifically f.

@ffulb

The RAG retrieval against a Wiki knowledge base is the tricky bit here since Hexabot's vector store needs to stay synced with Wiki updates without duplicating embeddings. I'd set up a scheduled workflow that pulls from Google Drive, processes docs into chunks, pushes them to the Wiki via API, then triggers a re-index job to update the vector database. The WhatsApp bot would query that vector store through Hexabot's NLU pipeline with OpenAI embeddings and use GPT for response generation. I've built similar RAG pipelines before with FastAPI and PostgreSQL vector extensions. You can check out some of that work at ffulb.com. Once I take a look at your WhatsApp Business API credentials, OpenAI key, Google Drive API access, and the server setup where you want Hexabot deployed, I can confirm the exact approach and get started.

@SalinaSof30

Hello, I have experience building AI-powered chatbots, RAG pipelines, WhatsApp integrations, vector databases, and automated knowledge management workflows. I can help set up a scalable solution that connects Google Drive, a Wiki knowledge base, Hexabot, and WhatsApp into a reliable end-to-end system. I’m comfortable working with custom integrations, embeddings, semantic search, and automated content synchronization while ensuring the platform remains maintainable and easy to extend. Please send me a message so we can discuss the architecture, preferred tech stack, and project timeline in detail. Thanks & Regards,

@yasirk1979

Hello, I got the idea of your project. You need a Hexabot AI based WhatsApp chatbot that uses RAG with a Wiki knowledge base, automatically synced from Google Drive. The key challenge is reliable data syncing, clean document processing, and accurate retrieval with low hallucination in real-time WhatsApp responses. Another challenge is building a stable pipeline between Google Drive → Wiki → Vector DB → Hexabot. Before proceeding, I have some technical questions: Which WhatsApp provider do you prefer (Twilio or Cloud API)? Do you already have a Wiki platform selected or should I choose one based on API flexibility? Expected document volume for embeddings per day? I am suitable for this because I have strong experience in Node.js, API integrations, Docker, and RAG-based chatbot systems. I will use Hexabot workflows, Google Drive API sync service, and a vector DB (Qdrant or pgvector) with scheduled jobs. Deliverables include full chatbot setup, integrations, and documentation. P.S: My current bid is a placeholder bid, cost and scope will be finalized after discussion. I would like to share my portfolio via chat Thank you, Muhammad Abrar

@usamaansari786

Your biggest challenge isn’t building a WA chatbot it’s creating a reliable knowledge system where Google Drive documents Wiki content RAG retrieval and WA conversations stay synchronized while delivering accurate answers with minimal hallucinations. Most AI bots fail because the knowledge pipeline becomes outdated or inconsistent. That’s exactly what I do. Here’s what I’ll build for you 1 A complete Hexabot-based AI assistant integrated with WA Business API and connected to a centralized Wiki knowledge base for structured content management 2 An automated Google Drive synchronization workflow that extracts documents processes content updates Wiki pages and prevents duplicate or outdated information 3 A production-ready RAG pipeline with document chunking embeddings semantic search and vector storage to ensure accurate context-aware responses based on approved knowledge only 4 A scalable architecture using Hexabot workflows custom actions webhooks and API integrations with full logging monitoring documentation and deployment support Everything will be structured so you can later expand the system with additional document sources multilingual support advanced workflows and new AI capabilities without rebuilding the core architecture. I’d like to understand whether you already have a preferred Wiki platform and hosting environment or if you would like recommendations based on scalability maintenance and API flexibility requirements. Warm Regards Usama F