RAG

Prompt Engineering

Prompt engineering is the practice of designing and refining the input text (prompt) given to a language model to reliably elicit accurate, relevant, and well-…

RAG

Retrieval-Augmented Generation (RAG) is a technique that combines a language model with an external retrieval system: relevant documents or passages are fetche…

Embeddings

Embeddings are dense numerical vector representations of data — such as words, sentences, images, or documents — learned so that semantically similar items are…

Context Window

The context window is the maximum amount of text, measured in tokens, that a language model can process and 'see' at one time, encompassing both the input prom…

Hallucination

Hallucination refers to a generative AI model producing output that is factually incorrect, fabricated, or unsupported by its training data or provided context…

AI Agent

An AI agent is a system, typically built around a large language model, that can perceive its environment or task, make decisions, and take autonomous actions…

Vector Search

Vector search is a retrieval method that finds items by comparing the numerical similarity of their vector embeddings rather than matching exact keywords.

Semantic Search

Semantic search is an information retrieval approach that ranks results by contextual meaning and user intent rather than by exact keyword matches.

Perplexity

Perplexity AI is an AI-powered answer engine that responds to user questions with a synthesized, conversational answer backed by cited web sources, positioning…

Qdrant

Qdrant is an open-source vector database, written in Rust, built for storing and searching high-dimensional embeddings with a focus on performance, filtering,…

Milvus

Milvus is an open-source vector database designed for storing and searching large-scale embedding vectors, built to support similarity search and retrieval wor…

Perplexity AI

Perplexity AI is an AI-powered answer engine that combines large language models with real-time web search to produce direct, conversational answers backed by…

Cody

Cody is an AI coding assistant by Sourcegraph that provides codebase-aware chat, autocomplete, and code editing by indexing an entire repository for context.

You.com

You.com is an AI-powered search engine that combines traditional web search with conversational chat, letting users get synthesized answers alongside customiza…

Phind

Phind is an AI-powered search engine built specifically for developers, providing direct, cited answers to programming questions by combining web search with c…

LlamaIndex

LlamaIndex is an open-source data framework that helps developers connect large language models to external data sources, primarily by building indexes for ret…

Haystack

Haystack is an open-source Python framework by deepset for building production-grade search and question-answering systems, including retrieval-augmented gener…

LangSmith

LangSmith is an observability and evaluation platform from the makers of LangChain, used to debug, test, monitor, and improve applications built with large lan…

Chroma

Chroma is an open-source embedding database designed for storing and querying vector embeddings, commonly used to power retrieval-augmented generation and sema…

LlamaCloud

LlamaCloud is a managed cloud platform from the LlamaIndex team for parsing, indexing, and retrieving enterprise documents, designed to simplify building produ…

Flowise

Flowise is an open-source, low-code tool with a drag-and-drop visual interface for building LLM-powered applications and workflows, such as chatbots and retrie…

Dify

Dify is an open-source LLM application development platform that combines a visual workflow builder, backend-as-a-service, and tools for retrieval-augmented ge…

Intercom Fin

Intercom Fin is an AI customer service agent built into the Intercom platform that autonomously answers customer questions and resolves support tickets using a…

Cohere Command

Command is Cohere's family of large language models built for enterprise use cases, particularly retrieval-augmented generation, tool use, and multilingual tex…

RAG Explained: How AI Answers From Your Data

RAG lets AI answer from your private documents instead of just its training data — here's how it works.

RAG Explained: Retrieval-Augmented Generation

RAG is how you give an LLM access to your own private data without training a new model. This guide explains the full pipeline — chunking, embeddings, vector s…

Vector Databases Explained: The Memory Layer Powering AI Apps

Vector databases are the storage layer behind RAG systems, semantic search, and AI- powered recommendations. This guide explains what they are, how they differ…

The 2026 AI Engineer Roadmap: Skills, Tools, and Career Path

AI Engineer is one of the fastest-growing roles in tech — and it's more accessible than traditional ML engineering. This guide maps the exact skills, tools, an…