All creators
Venelin Valkov
LLM APIs, Developer Platforms, and Data & Analytics with a focus on local RAG architecture.
Nutrition Label
Venelin Valkov produces high-density technical tutorials focused on building local RAG systems and AI pipelines from scratch. He prioritizes code implementation and architectural understanding over surface-level tool reviews. Viewers can expect hands-on demonstrations that bridge theoretical concepts with practical coding.
Strengths
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Notes
- !Best suited for developers comfortable with Python and local environments.
- !Frequently promotes his own paid engineering course as a resource for further learning.
Rating Breakdown
Experience Authenticity
8.0Rigor & Evidence
5.6Original Analysis
6.7Technical Depth
7.7Disclosure Clarity
7.4Title-Content Alignment
8.9Expertise Signal
8.0Communication Effectiveness
7.7Breakdown across the key dimensions we rate. Methodology →
Recent Videos
Pending
ModernBERT - Modern Replacement for BERT | RAG, Embeddings, Classification, Reranking
Mar 8, 2026 • 377 views
Scored
Qwen 3.5 Local Test with Ollama | Coding, OCR, Data Extraction, Image Understanding
Mar 1, 2026 • 8.0K views
Pending
If AI Is Going To Replace You, Why Are You Still Watching This?
Feb 12, 2026 • 222 views
Pending
Hi, I’m Venelin and I Use Claude Code | A Confession From Recovering User
Feb 11, 2026 • 340 views
Scored
Vectorless RAG - Local Financial RAG Without Vector Database | Tree-Based Indexing with Ollama
Feb 11, 2026 • 6.6K views
Pending
GLM-OCR (9B) - Local OCR Test | OCR, Document Extraction, Table Recognition
Feb 9, 2026 • 2.9K views
Scored
Is RAG Dead in 2026? | Build Local RAG from First Principles
Feb 8, 2026 • 1.1K views
Scored
Advanced Retrieval Pipeline for RAG (HyDE, Hybrid Search, Reranking) | Build 100% Local Retrieval
Jan 28, 2026 • 706 views
Pending
Embeddings and Vector Databases for Fast RAG (100% Local) | Ollama, Supabase (PostgreSQL + pgvector)
Jan 20, 2026 • 1.1K views
Pending
Advanced RAG Chunking: Contextual & Structural Chunking with LangChain & Ollama (100% Local)
Jan 12, 2026 • 1.3K views
Pending
Merry Xmas & Happy Holidays!
Dec 25, 2025 • 104 views
Pending
Is China Winning the AI War? | State of AI 2025 by OpenRouter
Dec 24, 2025 • 233 views
Pending
Convert Any Document To LLM Knowledge with Docling & Ollama (100% Local) | PDF to Markdown Pipeline
Dec 22, 2025 • 6.7K views
Pending
Gemini 3 Flash Tested | RAG, PDF Extraction, Resume Parser, Image Macronutrients Analysis
Dec 18, 2025 • 493 views
Pending
Why 32% of AI Agents Fail in Production? | "State of Agent Engineering in 2025" Report by LangChain
Dec 17, 2025 • 444 views
Why this rating
Evidence receipts showing why each dimension is rated the way it is.
Technical Depth5/10
“Explains the specific architecture nuance: "This is the 35B model, but the '3BA' suffix indicates it has around 3 billion active parameters during inference, making it runnable on consumer hardware."”[02:14] →
Experience Authenticity5/10
“Demonstrates a live OCR failure mode: "It extracted the text from the invoice correctly, but notice it hallucinated a 'Total' field that wasn't in the original image."”[05:30] →
Rigor & Evidence5/10
“Runs a specific Python coding test: "I'm asking it to write a data extraction script using BeautifulSoup. Let's run the code immediately to see if it handles the exceptions we discussed."”[08:45] →
Categories
Automation & AgentsCoding ToolsData & AnalyticsDeveloper PlatformsLLM APIs
Formats
TutorialsDeep Dives