deep-technical - The Alchemyst AI Blog

Journaling how we make Alchemyst AI the best and most trusted context layer in the world.

AI Context Extraction From Unstructured Data Types: A Complete Guide
•10 min read

AI Context Extraction From Unstructured Data Types: A Complete Guide

Unstructured data accounts for the vast majority of enterprise knowledge, but extracting meaningful context remains a complex technical challenge. This comprehensive guide explores how AI-native context management transforms raw text, audio, and documents into verifiable intelligence for robust real-time applications.

Harsh Shah
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AI Agent Memory Compression Techniques for Enterprise
•11 min read

AI Agent Memory Compression Techniques for Enterprise

Discover how advanced AI agent memory compression techniques solve context window limits in enterprise LLMs. This comprehensive guide explores persistent memory layers, summarization algorithms, and vector-based retrieval for continuous agents.

Harsh Shah
Architecting Enterprise AI Voice OS with Real-Time CRM Data
•12 min read

Architecting Enterprise AI Voice OS with Real-Time CRM Data

Discover how to architect a scalable AI Voice OS using real-time CRM data integration. This technical blueprint explores the Kathan engine, context arithmetic, and secure enterprise pipelines.

Harsh Shah
AI Context Engine API Documentation for Developers
•13 min read

AI Context Engine API Documentation for Developers

This guide provides comprehensive, transactional AI context engine API documentation designed for developers. It details request schemas, response models, and integration snippets for deploying context-aware voice AI systems.

Harsh Shah
Context Arithmetic for Voice: A Technical Primer
•8 min read

Context Arithmetic for Voice: A Technical Primer

How the Context Engine computes what your voice agent should know at call time — groupName scoping, semantic search, metadata filtering, and top-K selection.

Anuran Roy