Absolutely—this is a very buildable feature, and it’s the kind of thing a good web developer (plus a little AI integration) can ship in phases.

What you’re asking for (translated into a developer spec)

You want a new top-level menu item on Neurosurgical.tv called “NeuroGTP” that lets users “chat” with (and/or search) your library of ~4,000 neurosurgery YouTube videos—ideally returning the most relevant clips with links and timestamps, plus summaries.

The key is: the system should use your video metadata + transcripts as the database.

The simplest architecture that works (MVP)

A developer can deliver this in ~4 core components:

1. Ingest your YouTube library

• Pull video list, titles, descriptions, thumbnails, publish date, tags, etc. via YouTube Data API

• Pull captions/transcripts (best case: existing captions; otherwise generate via Whisper or similar)

2. Index for search + “chat” retrieval

• Chunk transcripts (e.g., 30–90 seconds worth of text per chunk)

• Create embeddings and store in a vector DB (Pinecone / Weaviate / Qdrant / Supabase pgvector)

• Store mappings back to video_id + timestamp range

3. NeuroGTP page UI

• A clean page at something like: neurosurgical.tv/neurogtp

• Search box + chat-style interface

• Results show:

  • Video title + thumbnail

  • “Why this matched”

  • Buttons: Watch (timestamped), Open full video, Related clips

4. Answer generation (optional but powerful)

• After retrieval, generate a response summarizing what the clips say

• Always cite the clips it used (“Sources: Video X at 12:30”)

This avoids copyright headaches because you’re indexing your own channel and linking back to YouTube.

What to ask a developer to build first (Phase 1 MVP)

If you want speed + low cost, ask for this first:

• NeuroGTP page

• Semantic search across your videos

• Results returned as ranked list with timestamp links

• No full “chat memory” yet (optional later)

That alone will feel like “NeuroGTP” to users.

What skills your developer should have

Look for someone who can do:

• Frontend: React / Next.js (or your current WordPress stack, if that’s what Neurosurgical.tv uses)

• Backend: Node.js or Python (FastAPI)

• Experience with:

  • YouTube Data API

  • Captions/transcripts pipeline

  • Vector search (pgvector/Qdrant/Pinecone)

  • LLM integration (OpenAI / etc.)

Where to find the right person (fast)

Best places for this specific combo (web + AI + retrieval):

• Upwork: search “RAG developer”, “vector database”, “YouTube transcript search”

• Toptal: higher quality, higher cost

• Contra: good for modern Next.js freelancers

• GitHub / X: search “RAG + Next.js” builders

Copy/paste job post you can use

Title: Build “NeuroGTP” (AI search/chat) page for Neurosurgical.tv using our YouTube video library

Description:
We run a neurosurgery education site (Neurosurgical.tv) with ~4,000 videos on our YouTube channel. We want a new menu item/page called “NeuroGTP” that lets users search and ask questions across the video library using titles + descriptions + transcripts/captions, returning relevant clips with timestamped links.

Scope (MVP):

• Create NeuroGTP page (chat/search UI)

• Ingest YouTube channel metadata via YouTube Data API

• Fetch or generate transcripts/captions

• Build semantic search (vector database) across transcript chunks

• Return top matches with video title, thumbnail, and timestamped YouTube links

• Optional: generate a short answer summary citing the clips used

• Admin tools: re-index / update new videos

Tech preferences:
Next.js/React frontend; Node/Python backend; pgvector/Qdrant/Pinecone acceptable. Clean code, deployable.

Deliverables:
Deployed NeuroGTP page + backend + indexing pipeline + documentation.

One important note about your YouTube Studio link

Developers cannot use your YouTube Studio URL directly as an API source; they will need:

• access to your YouTube API key / OAuth (or you can create a service account / OAuth client)

• the channel ID (you already have it in that URL) and permissions to read channel data

If you tell me ONE thing, I’ll tailor the exact spec

What is Neurosurgical.tv built on right now—WordPress or custom (React/Next.js)?

Even without that, the above plan works; the stack just changes how the menu/page is integrated.

Perfect — WordPress makes this straightforward. You can add a “NeuroGTP” menu item that opens either:

1. a native WordPress page that embeds the NeuroGTP app (iframe/shortcode), or

2. a WordPress plugin that renders the UI and talks to a separate backend.

For reliability + speed, I’d recommend WordPress page + shortcode + separate backend (Phase 1), then convert to a full plugin later if you want everything “inside” WP.

Best WordPress approach (MVP that ships fast)

Option A (recommended): WP page + shortcode + external “NeuroGTP” backend

• Add a new WP page: /neurogtp

• Add a shortcode like [neurogtp] that displays:

  • search/chat UI

  • results list (thumbnail + title + timestamp links)

• The shortcode loads a small JS app (React/Vue/vanilla) from your server/CDN

• The app calls a backend API (your server or a managed host) that does:

  • YouTube ingest

  • transcripts

  • vector search

  • optional AI answer

Pros: fastest, clean separation, easy to maintain, won’t slow WP admin.
Cons: needs a small backend service.

Option B: Full WordPress plugin (everything inside WP)

• Plugin creates DB tables, indexing cron jobs, admin screens, chat UI.
  Pros: “all in WP.”
  Cons: more complex; can be slower/brittle on shared hosting.

What “NeuroGTP” should do (clear deliverables)

Ask your developer to deliver these exact features:

Phase 1: “Search your 4,000 videos intelligently”

• Pull all videos from your YouTube channel (metadata)

• Pull captions/transcripts (use existing captions; generate if missing)

• Build semantic search over transcript chunks

• NeuroGTP page UI:

  • search bar (and optional “Ask a question”)

  • returns top 10 matches with:

    • thumbnail

    • title

    • channel/date

    • timestamped YouTube links

    • short snippet (“…matched because…”)

• Admin page in WP:

  • “Sync videos now”

  • “Rebuild index”

  • show last sync time + number of videos indexed

Phase 2: True “chat”

• Multi-turn chat with memory (session-based)

• Answer with citations to clips/timestamps

• “Suggested follow-up questions”

• “Show me only: aneurysm / skull base / spine / trauma” filters

What you’ll need to provide the developer

• Your YouTube channel access via YouTube Data API OAuth (or you create credentials and hand them a token-based access method)

• Hosting choice for backend:

  • easiest: Render / Fly.io / Railway / AWS Lightsail

  • if you prefer “simple”: a small VPS

• Your WP access (staging ideally)

Job post you can paste (WordPress-specific)

Title: WordPress “NeuroGTP” page (AI search/chat across our YouTube neurosurgery video library)

Description:
We run a WordPress site (Neurosurgical.tv). We want a new top-menu item “NeuroGTP” linking to a page /neurogtp. This page should provide an AI-powered search/chat interface over ~4,000 YouTube videos from our channel, using video metadata + transcripts/captions. Output should include relevant videos with timestamped links.

Scope (MVP):

• Create WP page + menu item “NeuroGTP”

• Implement shortcode [neurogtp] that renders the interface

• Backend service to:

  • ingest YouTube channel videos via API

  • pull/generate transcripts

  • chunk + embed transcripts and store in vector DB (pgvector/Qdrant/Pinecone)

  • return ranked results with timestamps

• WP Admin screen:

  • Sync / rebuild index buttons

  • show indexed count + last sync

• Deployment + documentation

Nice-to-have:

• “Chat mode” answers with citations (video + timestamp)

• Filters by topic/category

Quick cost-saving tip

Tell candidates you want Phase 1 only first (semantic search with timestamps). It’s the highest ROI and proves everything works. Then add chat.

One more practical WordPress note

If your site uses caching (WP Rocket/Cloudflare), the NeuroGTP page should bypass full-page caching or load results via AJAX so it stays dynamic.

If you want, paste:

• your WordPress theme/builder (Elementor? Gutenberg?),

• your hosting (SiteGround? WP Engine? etc.),
  and I’ll tailor the “best architecture” choice + the exact plugin/shortcode approach for your setup (still without slowing your site).

Here is a clean, professional Phase-1 job description you can paste directly into Fiverr and Upwork. This is written to attract real AI + WordPress engineers, not generic web designers.

Title

Build “NeuroGTP” — AI Search Engine for 4,000 Neurosurgery Videos on WordPress

Project Overview

I run Neurosurgical.tv, a WordPress-based neurosurgery education platform with ~4,000 professional neurosurgery videos on our YouTube channel.
We want to launch NeuroGTP, a new AI-powered search system that allows doctors and students to search across all of our video content using natural language.

This is Phase 1: build a working AI search engine that finds the most relevant video clips and returns timestamped YouTube links.

This is NOT a simple keyword search — it must use semantic AI search over transcripts.

What NeuroGTP must do (Phase 1)

When a user types something like:

“How do you approach cavernous sinus tumors?”

NeuroGTP should:

• Search all video transcripts

• Find the best matching clips

• Return:

  • Video title

  • Thumbnail

  • Short matched text snippet

  • Clickable YouTube link with timestamp

  • Ranked by relevance

Scope of Work

1. YouTube Data Ingestion

• Pull all videos from our YouTube channel using YouTube Data API

• Collect:

  • Title

  • Description

  • Video ID

  • Publish date

  • Thumbnails

2. Transcript Processing

• Fetch existing captions/transcripts

• Generate transcripts if missing (Whisper or similar)

• Split transcripts into timestamped chunks

3. AI Search Index

• Convert transcript chunks into embeddings

• Store in a vector database (pgvector, Pinecone, Qdrant, etc.)

• Each chunk must link back to:

  • video_id

  • start time

4. NeuroGTP Web Interface (WordPress)

• Create new page:
  Neurosurgical.tv/neurogtp

• Add menu item: NeuroGTP

• Provide a clean search UI:

  • Input box

  • Results list with thumbnails + timestamped links

5. WordPress Admin Tools

Inside WP admin:

• Button: “Sync YouTube Videos”

• Button: “Rebuild AI Index”

• Show:

  • Number of videos indexed

  • Last update time

What this phase does NOT need yet

(No chat memory, no accounts, no advanced analytics yet)
Just high-quality AI search with timestamps.

Preferred Tech Stack

You may propose alternatives, but ideal:

• WordPress frontend (shortcode or plugin)

• Backend: Node.js or Python (FastAPI)

• Vector DB: pgvector, Qdrant, Pinecone, or equivalent

• YouTube Data API

• OpenAI or similar for embeddings

Deliverables

• Live NeuroGTP page on our WordPress site

• AI-powered video search working end-to-end

• Admin controls for syncing & reindexing

• Source code + documentation

Who this is for

We are looking for:

• AI / RAG developers

• YouTube transcript + vector search experience

• Not a simple WordPress designer

This project will expand to all medical specialties later — this is the foundation.

If you want, next I can also give you:

• a screening checklist (how to tell real AI engineers from fakes),

• and a $-saver technical interview script to avoid hiring the wrong freelancer.

You are basically building the “PubMed + ChatGPT for Neurosurgery Videos” — and you already own the best dataset on Earth for it. 🧠🚀

Here’s what I can give you reliably from public YouTube channel “Videos” counts:

A) Neurosurgery-specific academic/institute channels (most original uploads)

*Counts are what YouTube displays on the channel at the time of lookup; they can change as channels add/hide videos.

B) Big academic hospital channels (NOT neurosurgery-only, but huge libraries that include neurosurgery)

If you’re willing to count entire academic medical center channels (mixed specialties) that publish lots of neuro/neurosurgery content:

• Brigham and Women’s Hospital — ~808 videos

• Johns Hopkins All Children’s Hospital — ~769 videos

• Cedars-Sinai — ~757 videos

• Cleveland Clinic — ~6.1K videos (overall channel; mixed content)

If you want, I can tighten this to “neurosurgery-only videos” by looking specifically for institutions that have a separate neurosurgery department channel (like Cornell/Barrow/UW/UCSF), and exclude general hospital channels entirely.

I couldn’t find a verified ranking with exact counts for all neurosurgery department YouTube channels (counts change over time and aren’t published centrally), but based on publicly known active academic neurosurgery channels and how frequently they publish original educational content, here are 10 top academic / professional neurosurgery YouTube channels that are most likely to have significant “original” neurosurgery video libraries (not mixed general hospital channels). These are all established programs, societies, or education-focused channels with substantial high-quality neurosurgical videos:

🎥 Top Academic / Professional Neurosurgery YouTube Channels

1. American Association of Neurological Surgeons (AANS) – Official professional society channel with a large educational video series (interviews, lectures, technique videos).

2. Weill Cornell Medicine Neurological Surgery – Official department channel with procedural / clinical / educational neurosurgery content.

3. UCSF Neurosurgery – Department channel with clinical, academic, and patient-education neurosurgery videos.

4. Stanford Neurosurgery – Official department channel with surgical videos, lectures, and anatomy content.

5. Barrow Neurological Institute (Neurosurgery) – While some content is through playlists, Barrow neurosurgery education is widely cited as a rich video source (e.g., Base Camp).

6. Neurosurgical Atlas (Aaron Cohen-Gadol, MD) – Not tied to a single academic hospital, but arguably one of the largest and most educational neurosurgery video collections.

7. Congress of Neurological Surgeons (CNS Neurosurgery 100) – Official neurosurgical society that regularly publishes educational neurosurgery videos.

8. International Society for Pediatric Neurosurgery (ISPN) – Professional society with pediatric neurosurgery educational videos.

9. Neurosurgery Research and Education Foundation (NREF) – Educational series and webinars relevant to academic neurosurgery (often co-published with AANS).

10. University of Washington Neurosurgery / related UW sites – UW neurosurgery training and education content (less centralized than others but consistently academic).

📌 Notes on This List

• This list is focused on official academic & society channels that publish neurosurgical educational videos — not generic or broadly mixed hospital channels.

• Exact video counts for each channel fluctuate and aren’t easily searchable via publicly-available search engines or YouTube’s API without a custom query — but these channels are widely recognized in academic neurosurgery circles as having substantial educational repositories.

💡 Channels You Might Also Consider

These aren’t strictly departments but are highly educational/scholarly:

• Brainbook – educational neurosurgery content (may include some operational/instructional videos).

• AANS Young Neurosurgeons / related AANS subchannels – teaching series and webinars.

• Neurosurgical Tales / podcast-style academic discussions – invites expert neurosurgeons.

If you want to actually quantify video counts per channel

I can give you:
✅ A script you (or a developer) can run to fetch counts from the YouTube Data API
✅ A ranked list with exact video counts for these channels (up-to-date)
just tell me which channels you want included in that query.

Would you like the YouTube API script (Node/Python) to generate the counts automatically?

Excellent — you already have a solid Phase-1 MVP plan. What you want now is an addendum that explicitly expands Phase-1 to include:

👉 A parallel WordPress-facing NeuroGTP search page capable of scaling beyond 40 videos toward your full ~3,500–4,000 video library, without breaking the citation-safe RAG design.

Below is a ready-to-paste ADDENDUM you can attach to that PDF or email back to the developer.

ADDENDUM – Phase 1A: WordPress NeuroGTP Search Interface + Scalable YouTube Ingestion

This addendum extends Phase 1 to include a practical, website-facing implementation and scalable ingestion foundation, while preserving the citation-safe, retrieval-first RAG architecture.

A1. WordPress Integration (Phase 1A Extension)

In addition to the controlled MVP RAG system, developer will implement:

NeuroGTP Page on Neurosurgical.tv

• Create WordPress page:
  /neurogtp

• Add top-menu item: NeuroGTP

• Page contains a lightweight search interface (not full chat yet):

  • Search input box

  • Results list panel

Each result displays:

• Video title

• Thumbnail

• Short matched text snippet

• Clickable YouTube link with embedded timestamp

The page may load a small JS frontend (React/Vue/Vanilla) via shortcode or plugin and communicate with the backend API created in Phase 1.

Deliverable:
Live WordPress page showing AI-powered video search results from the Phase-1 indexed content.

A2. Scalable YouTube Channel Ingestion Framework

Although Phase 1 still operates on ~40 curated videos for validation, backend architecture must support:

• Automated ingestion of entire YouTube channel

• Metadata capture:

  • video_id

  • title

  • description

  • publish date

  • thumbnail URL

  • duration

• Transcript pipeline capable of handling thousands of videos:

  • Fetch captions where available

  • ASR fallback where missing

  • Timestamped segmentation

No requirement to ingest all 3,500–4,000 videos in Phase 1, but:

System design must not require architectural changes when scaling.

Deliverable:
Documented ingestion pipeline capable of channel-wide expansion.

A3. Timestamp-First Retrieval Contract

All retrieved chunks must always retain:

• video_id

• start_time

• end_time

These fields must propagate from:

Transcription → Chunking → Vector Index → Retrieval → Frontend display.

This guarantees future UI features (clip players, preview popups, timeline scrubbers) remain feasible.

A4. Admin Controls (Lightweight)

Inside WordPress Admin:

• Button: Sync YouTube Metadata

• Button: Rebuild Index (Phase-1 subset)

• Display:

  • Number of videos indexed

  • Last sync timestamp

No need for role management or scheduling yet.

A5. Phase Boundaries Clarification

Phase 1 + Addendum does NOT require:

• User accounts

• Conversation memory

• Long-term chat history

• Fine-tuning

• Monetization features

These are explicitly deferred.

A6. Updated Phase Naming

• Phase 1: Citation-Safe RAG Core (40-video MVP)

• Phase 1A: WordPress NeuroGTP Search Page + Scalable Ingestion

• Phase 2: Full library ingestion (3,500–4,000 videos), ranking improvements, optional articles

• Phase 3: Full chat UI, UX polish, production hardening

A7. Ownership & IP

All source code, pipelines, schemas, and prompts produced under Phase 1 and Addendum are work-for-hire and become exclusive property of Neurosurgical.tv.

If you’d like, next I can:

✅ Merge this addendum into your existing PDF as a single polished document
✅ Add a short acceptance criteria checklist (what “done” means)
✅ Add a one-page future scaling roadmap to help you in negotiations

This addendum ensures that Phase-1 is not just a research prototype, but the foundation of your future NeuroGTP platform.