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I will build a generative ai rag app using local llms and streamlit
Naim
5,0
5,0
À propos de ce service
Limited-Time Introductory Pricing for Early Clients! (Current prices are heavily discounted for the first 3 orders. Lock in this rate now!)
Build Private, Secure & Offline RAG AI Apps
Need a secure AI tool that analyzes documents privately without sending data to the cloud?
I build Local RAG systems using open-source LLMs that run fully offline. My project "Smart Document Analyst" scored 9.2/10 (Review) & 9.0/10 (Q&A) in benchmarks by ChatGPT-5 & Gemini 2.5.
Services I Build:
- Secure Chatbot: Chat with PDFs, DOCX & TXT offline. Zero leaks.
- Verifiable Q&A: AI answers with precise inline citations.
- Advanced Analysis: Novelty Detection, Auto-Reviews & Summaries.
- Custom Fine-Tuning: Train Llama 3/Mistral on custom data (Interview Bots, Resume Screeners).
- Server Deployment: Docker, VPS (AWS/Azure/Linux) & API integration.
Tech Stack:
- LLMs: Llama 3, Mistral, DeepSeek, Falcon, Ollama, Hugging Face.
- Tools: Python, LangChain, Streamlit, ChromaDB, FAISS, PyTorch, Quantization.
Bonus: User Manual + Video Guide included.
Why Me?
- 100% Offline & Private (GDPR Safe)
- Benchmarked High Accuracy
- No Monthly API Costs
Ready to own your AI? Order now to secure the deal!
Découvrez Naim
Naim
AI Research Engineer
- DeBangladesh
- Membre depuismars 2025
- Temps de réponse moy.2 heures
- Dernière commande3 mois
Langues
Bengali, Anglais
Hi, I’m Naim.
I am an AI Research Engineer bridging the gap between complex research and real-world software. My work on Drone-Assisted AI was recently accepted at the IEOM Conference.
I don't just train models; I build deployable systems.
My Expertise:
1. Computer Vision: Real-time Face Recognition, YOLO, InsightFace, YuNet, DeepSORT & Edge AI.
2. Generative AI: Privacy-first Local LLMs (RAG) & Chatbots.
3. Full-Stack AI: From Python scripts to interactive Streamlit dashboards.
If you need robust, research-grade AI solutions—not just basic scripts—let’s connect.
FAQ
1. Does this AI require a high-end GPU to run?
A: No, the standard version runs on a CPU (Intel i5/i7) with 8GB-16GB RAM using Quantization techniques. However, for faster real-time responses with heavy models like Llama 3, an NVIDIA GPU is recommended.
2. Is my data really 100% private?
A: Yes. Unlike online tools, this is a Local RAG system. It runs offline on your machine using open-source models (Mistral/Falcon). Your sensitive documents (PDF/Docs) never leave your device or touch the cloud.
3. How accurate is the AI? Can I trust the answers?
A: I use a RAG (Retrieval-Augmented Generation) architecture that forces the AI to answer only from your documents. It provides inline citations (scored 9.0/10 in benchmarks) so you can verify every claim instantly.
4. Are there any monthly fees or API costs?
A: Zero. Since we use open-source Local LLMs, there are no monthly subscriptions or API token costs. You pay once for the development, and the software is yours to run forever.
5. What types of files can I analyze?
A: The system supports PDF, DOCX, and TXT files by default using Python & LangChain. If you need to analyze Excel, CSV, or scanned images (OCR), please contact me for a custom offer.
6. Can this translate documents like Google Translate?
A: It uses offline models (like M2M100) for translations. While excellent for privacy and context, offline translation may not match the fluency of online cloud tools. It is best for research and understanding content.
7. How do I install and run the application?
A: You will receive a Ready-to-Run Executable file. You don't need coding skills. I also provide a Free User Manual & Video Guide to help you get started easily.
8. Do I get the Source Code?
A: The Basic and Standard packages include the compiled software. The full Source Code is exclusively included in the Premium Package or can be added as a "Gig Extra".
9. Can you deploy this on a Cloud Server (AWS/Azure) or use Docker?
A: Yes! I can Dockerize the app and deploy it to your VPS/Cloud for team access. Please note: Server Deployment is a Gig Extra and not included in the standard packages.
10. Can you fine-tune the model on my specific dataset?
A: Yes. I can Fine-Tune models (Llama 3/Mistral) on your custom data for specific industry needs. This is an advanced service requiring GPU resources and is available only as a "Gig Extra".
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I hired Naim to build a local knowledge base (RAG) for my business, and working with him has been an outstanding experience. From the very beginning, his communication was clear, professional, and always timely. He was consistently available, asked the right questions, and made sure he fully understood...
400 $US-600 $US
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Avis
1 avis concernant ce service
| (1) | ||
| (0) | ||
| (0) | ||
| (0) | ||
| (0) |
Détails de la notation
- Niveau de communication avec le freelance
- Qualité de la livraison
- Valeur de la livraison
Trier par
Les plus pertinents
C chantalsara
Suisse
I hired Naim to build a local knowledge base (RAG) for my business, and working with him has been an outstanding experience. From the very beginning, his communication was clear, professional, and always timely. He was consistently available, asked the right questions, and made sure he fully understood...
400 $US-600 $US
Prix
4 semaines
Durée
M Réponse du freelance
Utile?
