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I will build an ai video assistant with rag and semantic search
Ozan Effendi
Informazioni su questo servizio
Turn hours of recorded content into searchable AI knowledge.
If valuable information is buried inside lectures, training sessions, meetings, courses, or a large media library, I can build an AI Video Assistant that allows users to search the content and ask questions in natural language.
Instead of creating a generic chatbot, I develop a specialized RAG system that retrieves the most relevant information from your recordings and generates contextual answers based on the source material.
What your system can include:
- Automatic transcription and content processing
- AI-powered Q&A
- Retrieval-Augmented Generation (RAG)
- Semantic search
- Embeddings and vector search
- Relevant timestamp retrieval
- Automatic summaries
- Multi-file knowledge search
- Python / FastAPI backend
- LLM integration
- API integration with your existing application
- Custom web interface where required
How it works:
Your recordings are transcribed, processed, and converted into searchable embeddings. When a user asks a question, the system retrieves the most relevant sections and uses an LLM to generate a contextual answer based on that information.
This solution is suitable for SaaS products, online courses, internal training sy
Scopri di più su Ozan Effendi
Ozan Effendi
AI Engineer Building AI Agents RAG Systems FastAPI APIs and Flutter Apps
- DaPakistan
- Membro dalug 2025
- Tempo di risposta medio1 ora
Lingue
Inglese, Urdu
I build AI powered applications, automation systems and scalable backend solutions using Python, FastAPI, LLMs, RAG and AI agents. I develop RAG systems, AI chatbots, intelligent agents, APIs, machine learning solutions and full stack AI applications with database and cloud integration. I focus on reliable, scalable and production ready solutions tailored to your business needs.
Il mio portfolio
FAQ
What do you need from me to start?
I need a short description of your use case, sample video content or video source, the features you need, and details of any existing application you want the AI assistant integrated with.
Can you use my existing videos?
Yes. The system can be designed around supported uploaded videos or accessible video sources. Please send a sample before ordering so I can confirm the appropriate processing workflow.
Can users ask questions about the videos?
Yes. The video content can be transcribed and indexed so users can ask natural-language questions and receive answers based on relevant retrieved sections.
Can the system search inside videos?
Yes. Semantic search can retrieve relevant video sections based on meaning rather than relying only on exact keyword matches.
Can answers include timestamps?
Yes. Timestamp-based retrieval can be added when the transcription and ingestion workflow preserves time information.
Can you use OpenAI, Claude or Gemini?
Yes, depending on your preferred architecture and API access. We can choose an appropriate LLM based on your project requirements.
Can you build a custom frontend?
Yes. A custom chat or search interface can be included depending on your selected package or added as a Gig Extra.
Can you deploy the system?
Yes. Deployment can be included as an extra or within a suitable Premium scope. Cloud provider and infrastructure requirements should be discussed before ordering.
Can you integrate it into my existing application?
Yes, provided your application exposes the necessary integration points. I can build FastAPI endpoints or integrate with an existing backend/frontend after reviewing the architecture.
Can this be used inside a SaaS product?
Yes. The system can be designed as a backend service or integrated AI feature for a SaaS product. Production scale, authentication and infrastructure requirements should be scoped separately.
