Uploaded June 2026 | Updated September 2026, 2 weeks ago
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
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Set up a complete RAG system with OpenClaw, Qdrant, and RAGwire — without touching a single config file by hand. Ask questions on real Apple and Google financial filings and get clear, grounded answers with zero hallucination.
📺 Full OpenClaw Tutorial Playlist:
youtube.com/watch?v=cuRWThog5jQ&list=PLc2rvfiptPSQMZf3rlYZZ8vwUBcm6jv4d
In this video, OpenClaw does all the heavy lifting for you. It starts a Qdrant vector database in Docker, installs RAGwire with OpenRouter, creates the collection, and ingests the PDFs — all from simple prompts. Then we compare Apple and Google Q1 2026 earnings directly inside OpenClaw. This video covers the full pipeline from Docker to first RAG answer. For WhatsApp, Telegram, and Discord integrations, see the playlist below.
You only need Docker installed and OpenClaw running before you start.
⏱ Chapters:
0:00 Intro — see the final result first
0:54 How RAGwire works
1:51 Install Docker (Windows / Mac / Linux)
2:47 Start Qdrant Vector DB with one OpenClaw prompt
4:34 Install RAGwire and connect to OpenRouter
6:20 Create the Qdrant collection + preview Apple & Google PDFs
8:28 Ingest Apple and Google 10-Q PDFs into Qdrant
9:25 Verify ingestion in the Qdrant dashboard
10:38 Ask RAG questions in OpenClaw — compare Apple vs Google
12:50 Extend: ask from WhatsApp, Telegram, or Discord
🔗 Resources:
Google 10-Q Q1 2026 → s206.q4cdn.com/479360582/files/doc_financials/2026/q1/GOOG-10-Q-Q1-2026.pdf
Apple 10-Q Q2 2026 → s2.q4cdn.com/470004039/files/doc_earnings/2026/q2/filing/10Q-Q2-2026-as-filed.pdf
RAGwire OpenRouter docs → laxmimerit.github.io/RAGWire/openrouter
KGP Talkie → kgptalkie.com
🎓 Go deeper — Udemy courses:
Advanced RAG: Build & Deploy Production GenAI Apps → kgptalkie.com/advanced-rag
Agentic AI: Private Agentic RAG with LangGraph and Ollama → kgptalkie.com/agentic-rag
If this was helpful, please like the video — it helps others find it.
Comment below if you get stuck at any step. I will reply.
Subscribe so you don't miss the next OpenClaw tutorial.
#OpenClaw #Qdrant #RAG
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
Set up a complete RAG system with OpenClaw, Qdrant, and RAGwire — without touching a single config file by hand. Ask questions on real Apple and Google financial filings and get clear, grounded answers with zero hallucination.
📺 Full OpenClaw Tutorial Playlist:
youtube.com/watch?v=cuRWThog5jQ&list=PLc2rvfiptPSQMZf3rlYZZ8vwUBcm6jv4d
In this video, OpenClaw does all the heavy lifting for you. It starts a Qdrant vector database in Docker, installs RAGwire with OpenRouter, creates the collection, and ingests the PDFs — all from simple prompts. Then we compare Apple and Google Q1 2026 earnings directly inside OpenClaw. This video covers the full pipeline from Docker to first RAG answer. For WhatsApp, Telegram, and Discord integrations, see the playlist below.
You only need Docker installed and OpenClaw running before you start.
⏱ Chapters:
0:00 Intro — see the final result first
0:54 How RAGwire works
1:51 Install Docker (Windows / Mac / Linux)
2:47 Start Qdrant Vector DB with one OpenClaw prompt
4:34 Install RAGwire and connect to OpenRouter
6:20 Create the Qdrant collection + preview Apple & Google PDFs
8:28 Ingest Apple and Google 10-Q PDFs into Qdrant
9:25 Verify ingestion in the Qdrant dashboard
10:38 Ask RAG questions in OpenClaw — compare Apple vs Google
12:50 Extend: ask from WhatsApp, Telegram, or Discord
🔗 Resources:
Google 10-Q Q1 2026 → s206.q4cdn.com/479360582/files/doc_financials/2026/q1/GOOG-10-Q-Q1-2026.pdf
Apple 10-Q Q2 2026 → s2.q4cdn.com/470004039/files/doc_earnings/2026/q2/filing/10Q-Q2-2026-as-filed.pdf
RAGwire OpenRouter docs → laxmimerit.github.io/RAGWire/openrouter
KGP Talkie → kgptalkie.com
🎓 Go deeper — Udemy courses:
Advanced RAG: Build & Deploy Production GenAI Apps → kgptalkie.com/advanced-rag
Agentic AI: Private Agentic RAG with LangGraph and Ollama → kgptalkie.com/agentic-rag
If this was helpful, please like the video — it helps others find it.
Comment below if you get stuck at any step. I will reply.
Subscribe so you don't miss the next OpenClaw tutorial.
#OpenClaw #Qdrant #RAG
