Master Generative AI with 10+ Real-world Projects in 2025!
TeapotLLM: An open-source AI optimized for reliable Q&A, RAG, and information extraction with context-aware responses.
Build smart, scalable RAG apps with the right Rag developer stack—frameworks, embeddings, vector DBs, and tools to retrieve and generate.
Explore the top 10 Agent Ops AI tools and get to know which ones to use for agent productivity, performance monitoring, automation, and more.
Advanced RAG techniques to enhance retrieval, reduce hallucinations & improve response quality in complex, multi-turn AI conversations.
Learn how to implement the new Chain of Draft prompting method using Gemini and Groq for efficient AI-driven content generation.
Explore how reranker for RAG systems by refining results, reducing hallucinations, and improving relevance and accuracy.
Learn to build a multimodal RAG with Gemma 3, Docling, LangChain, and Milvus to process and query text, tables, and images.
Learn how to build a structured Multi-Agent Research Assistant System using Pydantic for efficient data validation and collaboration.
Learn how LangMem SDK enables AI agents to store long-term memory, adapt to users, and improve interactions over time.
OpenAI MCP Integration enables seamless, standardized links between AI models and data sources. Find out how to set it up here.
Edit
Resend OTP
Resend OTP in 45s