Build a Mini RAG FAQ Assistant (Next.js + AI)

@koolvishruth

Hi, I am AI engineer with 8 years of experience.I will develop and deliver in 1day.I have worked here with more than 116+ clients. Lets connect

@sf264

Hello! I am a senior full stack developer having 5+ years of professional experience. After going through your project requirements in detail, I understand that you need a small FAQ assistant web application that will utilize RAG. I would love to chat with you to know more details about your project. Let's get started, Fahad.

@kantshashi1999

Hey there, I can help you to make an RAG based FAQ assistant, I have made one earlier and can help you to make one for you. I will be using nextjs, but for training and building, I will be using python, any maybe for api too. DM me to discuss more.

@joeyboym

Hi, I've already done the task and created a GitHub repository. Let me share the repo URL in message box. Joey

@mykolan65

Hi there This build depends on keeping the RAG flow simple and reliable, with fast retrieval from local docs and a clean answer path through the API. The main risks are weak chunking, poor snippet matching, slow local embeddings, unclear source output, and an API route that works in dev but is hard to run locally. In the first hour I will set up the App Router page and ask route, then build the indexing script and test retrieval quality on a small docs set before wiring the final response format. Should retrieval stay fully file based with embeddings saved to JSON, or are you open to a lightweight vector store later? Do you want the answer to cite exact chunk text or only source file names? I have built small AI tools where the key was clean retrieval, readable code, and a README another developer could run without guesswork. I can start right away and keep it clean and practical. Hope to discuss more on chat. Mykola Nahurskyi

@vitaliih3

Hello, Will the web application need to handle concurrent user queries efficiently to ensure smooth user experience? Are there any specific security requirements that need to be implemented to protect user data during the question-answer process? I take full ownership of the development process, ensuring stable and production-grade delivery. Communication will be direct and efficient throughout the project. Let’s align on the details and move forward. Best regards, Vitalii

@matheussilva114

Hi there, THE CHALLENGE is integrating the RAG model effectively to provide accurate answers to user questions by leveraging local text embeddings and the Perplexity AI Chat Completions API. Ensuring seamless communication between the frontend and backend, as well as optimizing the indexing process for efficient retrieval of information, will be key technical hurdles to overcome. I will approach this by meticulously testing each component, debugging any issues that arise, and continuously refining the system to enhance performance and user experience. Regards, Matheus

@andriip30

Hello, hope all is good. I understand your goals and will deliver clear work on time while keeping you updated. I am a reliable freelancer with 10+ years of experience in JavaScript, React.js and I helped many clients in the past. Visit my profile to check my latest work and reviews from past clients. Connect in chat to discuss details and next steps. Looking forward.

@serhiih25

Hello, I can deliver what you need. I have read the details you shared and I understand the outcome you want. I have 8 years of experience in JavaScript, HTML, React.js. I have completed similar projects. Visit my profile to check my latest work and reviews from past clients. Connect in chat to discuss details and next steps. Best regards, serhii

@vishzzlvk

Hey bro, I can build this from ground up I have experience in building rag pipeline and integration to frontends along with deployments of applications been in software development for past 5 years, take a chance on me and you'll get your moneys worth of work done

@hermannm4

⚙️ I'm available to start right away. ⚙️ Your main challenge is getting a clean, minimal RAG FAQ app that’s easy to run, read, and extend later. You also want this to be a real signal of how someone will work with you long term, not just a throwaway demo. ✔️ Communication / Customer Interaction I’ll confirm the flow (question → retrieval → Perplexity answer → sources) before coding. You’ll get short, focused updates and can review progress in small, working increments. ✔️ Process Tracking / Organization / Reporting I’ll structure the app with a clear API route, a simple indexing script, and a tidy docs/ folder. The README will walk through setup, env vars, index building, and running locally, plus a brief note on design choices and next steps. ✔️ Reliability / Consistency / Proactive Communication I’ll keep the code small, readable, and well‑named so future features are easy to add. Any trade‑offs will be documented. I’d be glad to build this first version and set a solid base for future work together. Hermann M.

@bmicicfl

Hi Amigo, I can build your project. ​ I've delivered similar AI-powered apps, like a React-based search tool with local embeddings that cut API costs by 40% while boosting response relevance on internal docs. For this, I'll implement a clean indexing script splitting docs into 500-token chunks, storing embeddings in a JSON vector store; the /api/ask route will embed the question, cosine-similarity search top-3 matches, and prompt Perplexity with context + sources for transparency. Your repo will include styled UI (Tailwind for modern input/answer layout), TypeScript throughout, example docs/, full README with env setup (PERPLEXITY_API_KEY, MODEL), index build command, and notes on scaling. Let's hop on a quick call to review your docs format and kick this off-when works for you?