What Is pgvector? pgvector is a PostgreSQL extension that adds vector similarity search to the world’s most popular open-source relational database. Instead of running a separate vector database service alongside your Postgres instance, pgvector lets you store embeddings as a native column type and query them with familiar SQL syntax. This dramatically simplifies the infrastructure … Read more
Why LangChain for Agents? LangChain is the most widely-used framework for building LLM-powered agents and applications. Its agent abstractions handle the decision loop — deciding which tools to use, calling them, processing results, and continuing until the task is complete — so you can focus on defining tools and goals rather than orchestration logic. In … Read more
Getting Started with the Anthropic API The Anthropic API provides access to Claude — Anthropic’s family of AI models including Claude Opus, Sonnet, and Haiku. This guide covers everything from initial setup through production-grade usage patterns including streaming, tool use, vision, prompt caching, and async processing. Install the Python SDK and set your API key: … Read more
Why Token Optimisation Matters Every token sent to an LLM API costs money — both input and output tokens. At low volume, the amounts are trivial. At production scale, they become significant operational expenses that compound with every feature addition, every edge case in prompt design, and every traffic spike. An application that sends 5,000 … Read more
What Is Gemini 2.0 Flash? Gemini 2.0 Flash is Google’s second-generation Flash model, released in early 2025. It is designed to be Google’s workhorse model for production applications — fast, cheap, and capable enough to handle the vast majority of real-world tasks without escalating to a frontier model. Flash sits one tier below Gemini 2.0 … Read more
What Is Function Calling? Function calling (also called tool use) allows LLMs to request the execution of functions you define, rather than just returning text. Instead of answering “the weather in London is 18°C” from training knowledge, the model can call a get_weather function with the argument {“location”: “London”}, receive the actual current data, and … Read more
What Is LLM Hallucination? Hallucination refers to LLM outputs that are factually incorrect, fabricated, or unsupported by the model’s input context — presented with the same confident tone as accurate information. The term covers a wide range of failure modes: citing research papers that do not exist, stating incorrect facts with high confidence, generating plausible-sounding … Read more
Why LlamaIndex for Production RAG? LlamaIndex is a data framework built specifically for connecting LLMs to external data sources. While LangChain is a general-purpose LLM application framework, LlamaIndex focuses specifically on the ingestion, indexing, and retrieval pipeline — the components that make RAG applications work well in production. Its abstractions for document loading, chunking strategies, … Read more
What Is Microsoft Phi-4? Phi-4 is Microsoft’s fourth-generation small language model, released in late 2024. It is a 14-billion-parameter dense transformer model designed around a specific thesis: that carefully curated, high-quality training data produces better models than simply scaling up parameter counts on web-scraped data. Microsoft’s Phi series has consistently challenged the assumption that more … Read more
Why LLM Observability Is Different from Traditional Monitoring Traditional software monitoring tracks binary outcomes: did the function return? Did the API respond within SLA? Did the database query succeed? LLM applications add a third dimension that traditional monitoring ignores entirely: quality. A response can be returned quickly, at low cost, with a 200 status code … Read more
