Building an AI-Powered Trip Planner with Weather Integration: A Complete Guide
In this tutorial, learn to build trip planning system that combines the power of large language models, vector databases, and weather APIs
Guides, newsletters, press releases, and case studies from our team of AI engineers and researchers.
In this tutorial, learn to build trip planning system that combines the power of large language models, vector databases, and weather APIs
01 September 2025 Issue: Discover the latest AI breakthroughs, top industry news, and insights on the global AI talent crunch.
Explore the hidden risks of AI frameworks, why they surface only in production, and how adopting systems thinking helps build AI that works beyond demos and scales with your product.
Learn when to use TF-IDF, BM25, SPLADE, and hybrid search, and see how Qdrant handles dense and sparse vectors side by side. Covers indexing, querying, evaluation, and best practices.
Build shopping assistants with semantic search + agents: use Qdrant, OpenAI API, Agents SDK, and Streamlit to retrieve top results, answer with context, and boost conversions—step by step.
Build hybrid data analytics agents that combine SQL + Meilisearch with LLM function calling. Handle structured queries, semantic search, and visualization in one intelligent workflow.
In this deep dive, you’ll learn how to break down the architecture, design patterns, and practical steps for building autonomous report generation agents.
12 Aug 2025 Issue: Why retrieval is the real bottleneck in Agentic RAG, new SupercraftAI marketing assistant, Superteams openings, and key AI launches from OpenAI, Alibaba, Z.ai, DeepMind
Learn the difference between vector search and knowledge graphs, and why combining both powers smarter, faster, and more explainable RAG and enterprise systems.
A hands-on guide to building multiagent AI systems for manufacturing supply chain automation covering agent design, orchestration, data pipelines, and real-world deployment
11 July, 2025 Issue: Discover how to secure AI agents with strong guardrails, review recent AI launches, and explore job opportunities in BD and technical writing.
This guide shows how to build a memory-powered AI agent with PostgreSQL, pgvector, Anthropic MCP, and Mistral.
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