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General
Blog
- From Benchmarketing to Benchmaxxing: What 40 Years of Database Evals Can Teach Data Leaders about AI
- Data Is Not Software: What Anthropic's Analytics Infrastructure Reveals About AI and Data
- What Is Cortex Sense? Snowflake's Runtime Context Layer, Explained
- Cortex Sense vs Genie Ontology - Which One Checks the Answer
- Convert PDFs into a Queryable, Agent-Ready Catalog with fenic
- What Is Horizon Context? Snowflake's Governed Context Layer Explained
- Fenic 0.4.0 Released: Declarative Tools, MCP, and HuggingFace — plus major DX & reliability gains
- Data Catalogs Were Never Going to Fix Lineage
- Stop judging AI agents on vibes
- The Learning-Curve Moat in Data Systems
- Build a Hacker News Deep Research Agent with Fenic + Pydantic AI
- Context Engineering is becoming Harness Engineering
- Cutting PM Triage Time by 95% with an AI Agent
- The Data Context Layer: What AI Agents Need to Understand Your Data
- Snowflake is proving AI for data needs more than coding agents
- fenic + Hugging Face Datasets: One-Line Agent Context Hydration
- What Is Genie Ontology? Databricks' Continuously Learned Context Layer Explained
- Build an LLM Agent for Log Clustering & Triage
- AI Content Pipeline for Search, Recommenders & Agents with fenic
- The model is swappable, the ontology compounds
- What Are Metrics in Unity Catalog? Databricks' Governed Metric Layer Explained
- fenic 0.5.0: Smarter Docs, Date Data Types, OpenRouter plus planning and reliability upgrades
- Building Production-Scale Evals for Data Agents
- MCPs Give Agents Access. They Don’t Give Them Understanding
- Fenic 0.3.0 Released: Rust-powered Jinja, Fuzzy Matching & More
- Introducing Fenic: A cute, PySpark-Inspired DataFrame Framework for AI Workflows
- Announcing Our $5.5M Seed to Power Production-Ready AI Workloads
Resources
- Content Classification Accuracy
- Orchestrate Reliable Agents with Typedef and LangGraph
- Migrate Looker (LookML Semantic Layer) to Databricks Metric Views
- Enhance AI Agent Preprocessing for Better Decision-Making
- Semantic Layer Architectures: Warehouse vs dbt vs Cube
- Handle Video and Image Data in Unstructured AI Pipelines
- Data Enrichment for AI Agents via Semantic Operators
- Deep Analysis of Unstructured Data with OLAP Queries
- Content Classification & Tagging for Media Platforms
- How to Build Scalable Semantic Search in AI Data Platforms
- MetricFlow vs Snowflake vs Databricks: Which Semantic Layer?
- Intelligent Tagging Systems
- Handling Non-Deterministic AI Models
- Managing Multimodal Data: Markdown & Embeddings
- Migrate Looker LookML to Snowflake Semantic Views
- Reducto OCR + Schema Validation & LLM Fix-Ups
- Minimize Token Waste in Large-Scale LLM Batch Processing
- Unstructured.io: Typed Schemas + Vector Joins
- Give Mastra Pipelines Queryable Memory with Typedef
- Augment LangChain Memory with Fenic
- Multimodal Data Handling
- Build Scalable AI Pipelines: Inference-First Engine
- How to Eliminate Fragile Glue Code in AI Data Processing
- Semantic Processing for Data Pipelines
- Deterministic AI Workflows
- LangGraph Agents with Versioned Memory on Typedef
- Create Composable Semantic Operators for Data Transformation
- Agentic Analytics on BigQuery: AI-Driven SQL
- Unstructured Data Management
- Tackle Chunking and Context Windows in LLM Data Pipelines
- Build Reliable AI Pipelines with Fenic's Semantic Operators
- Augment LangChain with Typedef.ai for Insurance Analytics
- High-Quality Data Labeling
- Rust for AI Compute
- Structure Unstructured Text with DataFrame Primitives
- Migrate Beagle to Databricks Metric Views
- Manage LLM-Specific Constraints as First-Class Operations
- Migrate ThoughtSpot to Databricks Metric Views
- Migrate AtScale to Databricks Metric Views
- Agentic Analytics on Databricks
- Structured Extraction from Unstructured Sources
- Embeddings & JSON as Native Data Types in Pipelines
- Building Agentic Apps with Declarative DataFrame APIs
- How to Solve Data Fragmentation in Multimodal AI Inputs
- Process Unstructured + Structured Data in One Platform
- Serverless AI Deployment
- How to Build an AI Analytics Copilot for Databricks
- Manage Multiple LLM Providers in One Framework
- Handle Token & Rate Limits in Large-Scale LLM Inference
- Coordinate CrewAI Agent Teams on Typedef
- Real-Time Context Engineering
- How to Make PDFs Searchable for AI Agents: A Python Guide
- AI Inference Pipeline Optimization
- Agentic Analytics vs Traditional BI
- Embeddings for Semantic Search
- Add Typed Tool-Calling to PydanticAI Workflows with Typedef
- How to Integrate Agentic Pipelines with Existing Data Stacks
- Migrate data.world to Databricks Metric Views
- Transcript Processing Efficiency
- Build Agentic AI with LangChain & Fenic
- How to Decouple Batch Inference from Real-Time AI Reasoning
- Process Audio Transcripts for Insights in Conversational AI
- HTML & PDFs as First-Class Citizens in Data Pipelines
- OLAP + LLM Integration
- AI-Native Platform Adoption
- Scale Semantic Extraction Across Insurance Carriers
- Migrate GoodData to Databricks Metric Views
- The State of LLM Adoption
- Customer Support Analytics via Transcript Processing
- Migrate dbt Semantic Layer to Databricks Metric Views
- Agentic Analytics on Snowflake
- Migrate Cube to Databricks Metric Views
- Customer Support AI ROI Benchmarks
- Extract Insights from Chat Logs with Semantic Ops
- AI Pipelines for Insurance Compliance: Cut Errors
- Unify Inference, Search, and Analytics in a Single Engine
- Real-Time Context Engineering for AI Agents
- Analyzing Policy Documents with Semantic Intelligence
- How to Build an AI Analytics Copilot for Snowflake in 2025
- Scaling AI Data Processing
- Migrate Timbr.ai to Databricks Metric Views
- Fuzzy Matching & Jinja Templating in AI DataFrames
- AI Pipeline Brittleness
- The State of AI Agent Automation
- Fenic DataFrames in LangChain for Multimodal Data
- AI Copilot for Analytics: Architecture & Best Practices
- Automate Batch Inference Across Multiple Model Providers
- HTML & JSON Data Extraction
- Integrate OpenAI & Vertex Models into Data Pipelines
- Migrate Snowflake Semantic Views to Databricks Metric Views
- Agentic Analytics for Tableau on Snowflake
- Microservices for AI Infrastructure