Vector Databases for AI Apps
Compare Pinecone, Qdrant, Weaviate and more, then build live: build semantic search with pgvector vs Qdrant.
Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.
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Suggested mentor
Ajay Prajapat
AI Systems Architect
15+ years of experience · Ex-Apple
About mentor & skills Visit siteinnovatewithajay.com
About the suggested mentor
Ajay Prajapat
AI Systems Architect
- 15+ years of experience
- Ex-Apple
AI Systems Architect with 15+ years of experience, including building production GenAI systems — RAG pipelines, AI agents, prompt engineering and GenAI architecture. His sessions are hands-on: expect real workflows, live builds and honest trade-offs, not slideware.
Skills & expertise
- AI-assisted Development
- Full-stack Development
- AI Agents
- RAG & MCP
- System Design
- Project Reviews
- Prompt Engineering
- GenAI Architecture
A suggested match for this topic. The trainer and session details will be confirmed when the webinar is scheduled.
Learn this topic with a mentor
Don't want to wait for the webinar? Pick how you'd like help. Nothing is paid now — you see the fee before anything is booked.
- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1The real problem: AI search needs a new database, or does it?
- 2The tool landscape: Pinecone, Qdrant, Weaviate, Milvus, Chroma, pgvector, FAISS, LanceDB — what each is for and where they overlap
- 3How to choose: team size, integrations, where your data lives, and today's pricing and availability (checked live, not from memory)
- 4Live practical task: Build semantic search with pgvector vs Qdrant
- 5Build the reusable output together: Vector DB comparison
- 6When you don't need a new tool at all, then live Q&A on your own setup
Who it's for
- • Students and developers who want hands-on practice with real tools
You'd leave with
- Vector DB comparison
- A shortlist of 2–3 options from Pinecone, Qdrant, Weaviate, Milvus and others, with the criteria to pick one
- Hands-on practice: build semantic search with pgvector vs Qdrant
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