@ahmetcantryk
7 min read
5 AI Project Ideas to Build This Weekend
Five weekend-sized AI project ideas — RAG PDF Q&A, a multi-model playground, a PR-review agent, and a CSV analyzer — plus why one deep build beats ten demos.
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Five weekend-sized AI project ideas — RAG PDF Q&A, a multi-model playground, a PR-review agent, and a CSV analyzer — plus why one deep build beats ten demos.
How to build a RAG system in 2026: chunking, embeddings, a vector database, hybrid search, Cohere Rerank 3.5, and grounded answers — with runnable code.
Reduce LLM hallucinations in production with grounding, confidence gating, strict structured output, and evals — plus 2026 numbers on why the pipeline wins.
A hands-on vector database comparison for July 2026 — Pinecone serverless v2, pgvector 0.8.4, Qdrant GPU indexing, Weaviate, and Milvus 2.6 on cost, scale, and filtering.
As of July 2026, ~80% of 'we need to fine-tune' requests are solved by better retrieval. Fine-tuning vs RAG comes down to one question: missing knowledge, or missing behavior?
Text embeddings explained for developers: how they turn words into vectors, how similarity search works, and which model to pick in 2026 (Gemini, Voyage, BGE).