Fix RAG Application Errors

@starttechno

I’ll debug the RAG application from root cause to verified fix, while preserving the existing functionality. I’ll first trace the authentication/session lifecycle across refreshes, checking token storage, expiry, guards, and backend validation so users remain logged in correctly. I’ll then inspect how conversation IDs, message history, retrieved context, and LLM requests are passed between the frontend and API to prevent the AI from forgetting previous messages. For the UI, I’ll review the affected Angular/JavaScript components and styles to correct dark text, inconsistent spacing, visual states, and unexpected or missing button labels. I’ll profile the AI request flow to identify unnecessary calls, inefficient retrieval, oversized prompts, or blocking frontend behavior, then optimize the practical bottlenecks. I’ll also trace the complete document upload pipeline—including file selection, multipart/API handling, storage, processing, error responses, and status updates—to resolve the recurring “failed” state. I have 10+ years of full-stack experience, 249+ delivered projects, and extensive AI/LLM, API, authentication, frontend, and document-processing experience. I can start immediately and test each fix against the existing flows. Is the application currently using Angular with a separate Node/Python API, or is everything handled in one frontend project? Muhammad Saad

@sabaehsan

Greetings, I see that you're looking to resolve several issues with your AI-based application to enhance its stability and user experience. Addressing the authentication problems is crucial to ensure users remain logged in while navigating your app. I would conduct a thorough investigation into the session management to pinpoint the cause of the logout issue. For the AI conversation memory, I'd focus on optimizing how context is maintained during chats. This will help create a smoother user interaction. I also understand the importance of a clean and consistent UI, so I would refine the visual elements and fix any text issues on buttons to improve usability. With my experience in frontend development, debugging, and performance optimization, I can help make your application production-ready while preserving existing functionality. Best regards, Saba Ehsan

@Taqitafsol

Good Day ! Before starting any contract, we can provide a free initial workflow draft so you can review our approach and work quality. I have extensive experience building and debugging AI-powered applications, including AI chat systems, integrations, authentication flows, document processing, and performance optimization. I’ve worked on many similar projects, and I’d be happy to demonstrate relevant work, technical approach, and solutions during our chat. A few things I’d like to clarify: -/ Could you share the current application URL, tech stack, and repository access so I can review the architecture? -/ Which authentication system are you using (JWT, sessions, Firebase Auth, Auth0, Supabase, custom auth, etc.)? -/ When did the logout issue start, and does it happen on all browsers/devices or only specific environments? -/ Which AI model/API are you using (OpenAI, Claude, Gemini, custom model), and what is the current response time? Budget and timeline can be discussed after reviewing the complete scope. Let's jump over an on-site chat or on-site freelancer call to walk through everything and then proceed from there. Best Regards, Taqi (HJ)

@naminghn

Hi there, I see that your application requires a thorough debugging and optimization process, particularly around user authentication and maintaining AI conversation memory. I can help stabilize your application by investigating the root causes of these issues and addressing the UI/UX concerns. With strong experience in front-end development and session management, I'm confident in providing a smooth and efficient solution. Your satisfaction is my top priority, and I guarantee a high-quality outcome. Regards, Ali

@umairdev101

Hi there, I build frontends with JavaScript, Website Design, Frontend Development, Chatbot, API Development. For "Fix RAG Application Errors" I will deliver clean reusable components, responsive layouts down to 360px, and a build that passes type checks. Delivery in 1 days for 11 GBP. Can you share any extra details or files so I can confirm the scope? I can start today. Best regards

@krupnovdenis

Hello! We can help stabilize your AI application and fix the core issues. 1. Do you already have access to the current codebase and backend services? 2. Which issue should we tackle first: auth, AI memory, UI, uploads, or performance? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@denisSolution

Hi, I'm Denis, a full-stack developer with experience resolving similar AI app issues—authentication, chat memory, uploads, and performance. Your auth problem likely comes from AngularJS frontend state clashing with token/session handling. AI context issues may stem from how conversation history is stored/retrieved—frontend state or AI service context window. Document upload failures often point to backend validation or storage permissions. Slow AI responses could be due to request pipeline or LLM integration bottlenecks. In past projects, I’ve: - Fixed session persistence by managing access tokens and refresh mechanisms to prevent logout on refresh. - Implemented conversation history caching with fallbacks for continuity. - Resolved upload issues by reviewing frontend validation and backend storage handling. - Improved AI performance by compressing context or optimizing API calls. I’d start by reviewing the auth flow, then check chat history, followed by upload and performance bottlenecks. Testing will ensure fixes don’t disrupt existing flows. The main risk is deeper architectural choices (e.g., AngularJS state management or AI context processing). We’ll focus on stability without overengineering. I can start immediately—let’s connect to discuss further. Thanks, Denis

@beridzegigi19

Hi, I'm Gigi, a full-stack dev who builds and debugs RAG/LLM apps (Node, Next/React, vector DBs, OpenAI APIs). On your four issues: 1) Auth - I'll fix session persistence with proper token refresh and rehydration so a page refresh no longer logs users out. 2) Conversation memory - review how history is stored and passed into the prompt, add reliable context windowing. 3) Performance - profile the request/response flow, add streaming responses, caching and leaner retrieval to cut latency. 4) Document upload - trace the upload/embedding pipeline and fix the failed status at its root cause. I fix root causes, not patches, and I won't break existing functionality. 3 days, with a short summary of each fix. Profile: https://www.freelancer.com/u/beridzegigi19

@FizzaNadeemK

Hello, I understand you need your existing AI application debugged and optimized to become stable and production-ready. The main issues include authentication persistence, conversation memory, UI inconsistencies, incorrect button text, slow AI responses, and failed document uploads. I can investigate the root causes and fix each issue without disrupting the existing functionality. I’ll focus on authentication/session management, chat history, API and AI performance, file-upload workflows, and frontend UI improvements to ensure everything works reliably. I can start immediately and work through the issues systematically, testing the application after each fix to ensure the final result is stable and production-ready. Best Regards Fizza

@muhammadsaad90

Hi, I can debug and stabilize your existing AI application by addressing authentication persistence, conversation memory, document uploads, incorrect button text, UI inconsistencies, and slow AI responses. I’ll focus on identifying the root causes and fixing them cleanly without disrupting the existing functionality. I’ll also review the API/request flow, session handling, chat history, upload pipeline, and frontend behaviour to improve reliability and performance. After the fixes, I’ll test the key workflows end-to-end and ensure the application is in a stable, production-ready state. Best regards, Muhammad Saad K

@cliftonc20

Hi, I’ve built several production systems like this, including DocIntel AI, where document ingestion, OCR, retrieval, chat behavior, and admin workflows all had to stay consistent under real usage. Dent-Cloud is also relevant on the SaaS side for auth, API reliability, and performance tuning. I usually structure this kind of work by separating auth/session flow, conversation state, ingestion pipeline, and response path, then tracing each boundary end to end. For a JavaScript frontend, that typically exposes whether the issue is persistence, cache invalidation, request ordering, or a backend status mismatch. For the AI side, I’d verify how chat history is stored, rehydrated, and passed into each turn, then check retrieval and fallback behavior so memory loss is not being masked as model inconsistency. On uploads, I’d inspect where failure states are emitted and whether background processing is drifting from UI status. This is the kind of cleanup that should leave the system stable for long-term production use, not patched around symptoms. If useful, I can start by mapping the request/state flow for auth, chat memory, and document upload, then identify the highest-risk breakpoints. Clifton

@AndrewJSMAN

I’ve built and debugged full-stack AI chat apps with AngularJS, session persistence via JWT + localStorage/cookies, and RAG pipelines using LangChain/FAISS. I’ll first audit the auth flow—likely a missing `HttpOnly` JWT persistence or expired refresh tokens—then patch it with a secure session manager. The memory loss stems from stateless API calls; I’ll enforce conversation state in IndexedDB or Redis with a 15-min TTL. UI inconsistencies will be fixed via a design-system audit using Tailwind or CSS Modules. Button text issues are usually hardcoded strings; I’ll grep the templates for misplaced interpolation. Slow responses come from unoptimized vector search or API throttling; I’ll add caching with Redis and switch to a faster embedding model like `all-MiniLM-L6-v2`. Failed uploads trace to malformed multipart requests or S3 policy mismatches; I’ll validate the flow with Postman and enforce strict MIME checks. This stays non-breaking. I can start immediately. Thanks, Andrii.

@tyronet2

Six specific bugs on a live AI app — session drops on refresh, lost chat context, slow LLM responses, broken document uploads, plus UI cleanup. Root-cause fixes, not band-aids. Quick read on each: Session on refresh — usually token stored in memory instead of httpOnly cookie or localStorage, or the refresh-token flow isn't rehydrating on app boot. Fixable once I see the auth setup. AI forgetting context — either the conversation history isn't being passed back into each request, or it's getting truncated silently when it exceeds the context window. I'll add proper history management with a sliding window + summarization fallback. Slow responses — usually fixed by streaming (SSE) instead of waiting for full completion, plus checking if you're on the right model tier and trimming prompt bloat. Document upload failures — need to trace the full flow (frontend → API → storage → parsing). Common culprits: timeout on large files, missing multipart handling, or the embedding/indexing step failing silently. UI/text issues — audit pass, fix contrast, spacing, and the mystery button labels. At Marin Software I built LangChain-based AI agents with streaming responses, conversation memory, and document ingestion pipelines on AWS, so this stack is familiar territory. What's the current backend and LLM provider (OpenAI, Anthropic, self-hosted)? And is the frontend AngularJS (1.x) or Angular?

@arslanshahid386

Hi, I can help you with this project. I have relevant experience with JavaScript, AngularJS and can handle the work from development to testing and delivery. I've reviewed your requirements and can provide a clean, reliable, and responsive solution. Let's discuss the details and get started. Best, Arslan Shahid

@ruchi96

Hi, can you share the current tech stack and whether authentication, AI conversations, and document uploads are handled through your own backend APIs or third-party services? I will trace the issues from frontend to backend rather than applying surface-level fixes, starting with session persistence, token/cookie handling, and chat-history state management. I will audit the AI request flow to identify latency bottlenecks, debug the document upload pipeline and failure states, and clean up inconsistent UI styling and incorrect button labels. I have experience with AI applications, APIs, authentication, file handling, and performance optimization. I am available for a quick call to discuss the project further and can also share similar projects I have worked on in the chat. Thanks, Ruchi.

@opeyemia615

Hi there, The authentication logout on refresh and the AI losing conversation context are the two issues that will impact user trust most directly. Session persistence usually points to a missing token refresh mechanism or an improper storage strategy. I would start by tracing the authentication flow and the chat history state management, then move to the document upload failures. I would profile the AI response time to identify the bottleneck, and address the UI bugs in parallel. I have worked on debugging React apps and API integrations. 1. What is the current frontend framework and state management setup? 2. Does the AI use a third-party API or a custom model, and is the slow response due to the model or the request flow? 3. Are uploaded documents stored locally or on cloud storage, and what size are they failing at? Reply with these answers and I can start the investigation. Best regards, Opeyemi

@umer419

Hello, I checked your project "Fix RAG Application Errors" and already have a clear understanding of your requirements and how to deliver them efficiently. I have solid experience in JavaScript, Website Design, AngularJS, and I've successfully completed similar projects by delivering high-quality, scalable, and reliable solutions. Why choose me? * Strong expertise in JavaScript, Website Design, AngularJS * Clean, optimized, and scalable implementation * Fast communication and regular progress updates * Focused on delivering results, not just completing the task I'm ready to start immediately and would be happy to discuss the details. Best regards, Umer

@anshumanvermaUK

Hi I can debug and stabilize your existing AI application across authentication, conversation memory, UI/UX, document uploads, and AI response performance. I’ll trace the root causes in the frontend, backend, APIs, and session flow rather than applying temporary workarounds, while preserving existing functionality. Thanks Anshuman

@KhawajaaAli

Greetings, I see you're looking to enhance your AI-based application by addressing several key issues, including authentication problems, chat memory lapses, UI inconsistencies, and document upload failures. My approach would involve a thorough debugging process to identify the root causes of these issues, ensuring that session persistence is stable, chat history is maintained, and the UI is visually cohesive and user-friendly. With 10+ years of experience in frontend development and performance optimization, I have a solid background in working with AI applications and session management, which will allow me to tackle these challenges effectively. I’d also focus on optimizing the AI's response flow to improve performance and debugging the document upload process to ensure it functions smoothly. Could you share more about the specific technologies or frameworks currently in use for your application? Best regards, Khawaja Ali