Category articles "LLM & AI"
Study all materials on this topic
ChromaDB: Vector Database for RAG
ChromaDB is an embeddable vector database. It stores texts and their embeddings, and can search by semantic meaning. No separate...
SQLite in Python: Persistent Memory for Agents
SQLite is a relational database built into Python. It stores data in a single file and requires no server. It...
Anthropic SDK: Getting Started with the Claude API
Anthropic Python SDK is the official library for working with Claude. It hides the complexity of raw HTTP requests, adds...
Streaming LLM Responses: Getting the Answer Piece by Piece
By default, messages.create() waits until the model has fully generated its response before returning anything. For long responses this means...
uv: The Modern Python Package Manager
uv is a next-generation tool for managing Python dependencies. Written in Rust by Astral, it is 10–100× faster than pip...
System Prompts: Defining the Model's Role
A system prompt is a hidden instruction for the model set by the developer. The user never sees it, but...
environs: Typed Environment Variables
environs is a library for reading environment variables from a .env file with type support. It is an evolution of...
rich: Beautiful Terminal Output
rich is a Python library for formatted terminal output. Colors, tables, panels, markdown, progress bars, spinners — all through one...
Tokens in LLMs: How the Model Sees Text
When you send a request to a language model, it doesn't see words or letters. It sees tokens — chunks...
Other categories
Study related topics
Want more materials?
Subscribe to updates and be the first to know about new articles!