Blueprint for an Enterprise AI Assistant
Outlines a technical blueprint for building a secure, RAG-based Enterprise AI Assistant using open-source models and policy guardrails.
21 01, 2026
21 01, 2026
Perplexity Search API
A technical overview of the Perplexity Search API, designed to provide developers with real-time, reliable, and fine-grained web search results for building AI agents and RAG pipelines.
20 01, 2026
Vector Databases
An overview of vector databases, which are specialized systems designed for efficient similarity searches in high-dimensional spaces. Covers core algorithms like HNSW and IVF, the recall-latency trade-off, and their critical role in applications like RAG and semantic search.
14 01, 2026
Embeddings & Vector Databases: The Foundation of AI Memory
Explains the concepts of embeddings (numerical representations of data) and vector databases, detailing their crucial role in enabling semantic search, Retrieval-Augmented Generation (RAG), and long-term memory for modern AI systems.
14 01, 2026
Generative AI: From Content Creation to Agentic Systems (2026)
Explores the 2026 landscape of Generative AI, detailing its evolution from content synthesis to autonomous, agentic systems. This note covers key architectures like transformers and diffusion models, modern applications in enterprise and gaming, and evolving challenges like authenticity and sustainability.
8 01, 2026
Practical Guide: MCP-powered RAG for Complex Documents
Struggling with RAG for complex documents? This hands-on tutorial shows how to build a robust pipeline using MCP, GroundX, and the Cursor IDE.
8 01, 2026
Best Practices for RAG Pipelines: Designing Effective Retrieval-Augmented Generation Systems
Master RAG pipeline best practices from data ingestion to contextual grounding. This guide covers key strategies for building reliable, scalable, and efficient retrieval-augmented generation systems.
4 01, 2026
EmbeddingGemma: Technical Deep Dive on Embedding vs. Generative Models
Understand the core technical differences between a specialized embedding model like Google's EmbeddingGemma and a generative AI like ChatGPT. This guide covers architecture, use cases, and RAG implementation.
1 01, 2026
LLM-as-a-Judge Methodology and RAG Metrics
A deep dive into the llm-as-a-judge methodology, the 2026 standard for automated AI evaluation. This guide covers core principles, reliability standards, and the Ragas framework for assessing RAG systems.
30 12, 2025
Anatomy of a Knowledge Core: Fueling the Strategic Intelligence Engine
Defines the architecture of the Knowledge Core (also known as the Master Hub), the proven asset that powers the Strategic Intelligence Engine (SIE). This blueprint is validated by the operational Knowledge Pipeline (KPL).