Glossary

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E

Embeddings

An embedding is a way to turn data (like text or images) into a list of numbers so that computers can understand it and find patterns or connections in the data.

Think of it like this: imagine you want to teach a computer about the relationships between different words, like how “king” and “queen” are related or how “cat” and “dog” are similar but not the same. Instead of just giving the computer words, which it can’t really process, we convert each word into a list of numbers (called a vector). This list of numbers captures the essence of the word and how it relates to other words. The closer two words are in meaning, the more similar their lists of numbers will be.

Embeddings are useful because they let computers “understand” and compare things like words, images, or even entire documents in a more flexible and meaningful way than just using plain text or raw data.

F

Fine Tuning

LLM fine tuning is a supervised learning process where you improve a models ability for specific tasks.

L

Large Language Model (LLM)

A Large Language Models (LLM) is a machine learning model that can understand and generate human language text.

N

Namespace

Namespaces provide a way to segment the vectors within your index. This helps you filter the index records without needing to have an individual index for each collection of files.

Notebook

A Jupyter or Google Colab notebook is an interactive environment for writing and executing code, often used for data analysis, machine learning, and scientific research. It allows users to combine code, text, and visualizations in a single document that can be shared easily.

P

Pinecone (pinecone.io) is a vector database that supports the development of RAG (Retrieval-Augmented Generation) systems by providing efficient information retrieval capabilities through its vector search technology.

V

Vector

In Large Language Models, a vector is a numerical representation of text or data that captures its semantic meaning and relationships.

Vector Store

A vector store is a digital storage system that holds Vector.