RAG
4. Streaming RAG Chat - FastAPI SSE + React
Add token-by-token streaming to your RAG pipeline. Server-Sent Events from FastAPI, a React client with AbortController, and the nuances of streaming structured retrieval responses.
Idir Mellaz
RAG
3. Multi-Tenant Document Q&A API
Build a multi-tenant RAG API where each tenant's documents are fully isolated. FastAPI, per-tenant ChromaDB collections, JWT authentication, and a clean REST interface for document ingestion and querying.
RAG
2. Build Your First RAG System from Scratch
Strip away every framework and build RAG with raw Python — numpy cosine similarity, direct OpenAI calls, no LangChain. Understand exactly what the abstractions hide before you use them.
RAG
1. Document Analysis with LLMs
Build a production-ready document Q&A pipeline from scratch. Load PDFs, Word files and web pages, split them into semantic chunks, embed with open-source models, store in a vector DB, and answer questions with full source attribution — zero paid APIs required.
AI & Automation
Your AI Agent Works Perfectly in the Demo. Here Are the 6 Ways It Dies in Production with AI Automation
AI agents rarely fail in demos - they fail in production. Discover the 6 critical reasons AI automation systems break at scale: model drift, weak governance, poor observability, data quality issues, scalability bottlenecks, and security gaps.
AI & Automation
Deploying a Multistage Multimodal Recommender System on Amazon Elastic Kubernetes Service
Deploy a scalable multistage multimodal recommender system on Amazon Web Services using Amazon Elastic Kubernetes Service. Optimize inference pipelines, autoscaling, and GPU workloads for high-performance personalized recommendations.
AI & Automation
OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows
OpenAI has introduced a WebSocket-based execution mode designed to reduce latency in agentic AI workflows by enabling faster, persistent bidirectional communication between agents and execution environments.
AI & Automation
Inference Scaling (Test-Time Compute): Why Reasoning Models Raise Your Compute Bill
Reasoning models use more compute at inference time by exploring multiple paths, evaluating options, and refining outputs. This increases token usage, latency, and overall cost compared to standard single-pass models.
AI & Automation
Mistral AI Introduces Workflows for Orchestrating Enterprise AI Processes
Your AI models are capable. Your production deployments are not. Mistral's Workflows addresses the infrastructure gap that kills every enterprise AI pilot — built on the same durable execution engine trusted by Netflix, Stripe, and Salesforce.
AI & Automation
Designing Cognitive Memory for AI Agents
AI agents fail at continuity due to stateless design. LinkedIn’s Cognitive Memory Agent (CMA) introduces persistent, structured memory—episodic, semantic, procedural - enabling agents to retain context, adapt over time, and move from prompt-driven responses to truly stateful intelligence.
AI & Automation
The Hidden Failure Mode of RAG Systems: Right Data, Wrong Answer
Your RAG retrieves the right documents - then hallucinates anyway. The culprit isn't the model or the retriever. It's conflicting context entering the generator undetected. Here's the architectural fix five research groups converged on in 2025–2026.
DevOps & AI
Embracing Agentic AI in DevOps: A New Era of Efficiency
Agentic AI transforms DevOps from static automation to context-aware systems that detect, decide, and act. With guardrails like policy-as-code and observability, teams achieve faster recovery, reduced toil, and scalable, self-healing cloud operations.