Chuyển đến nội dung chính
Machine Learning
Artificial Intelligence
Data Scientist

Semantic Search with Pinecone

Learn the fundamentals of text embedding and vector databases with Pinecone to build a simple search engine.
James Briggs's photo
James Briggs

Tạo tài khoản miễn phí của bạn

Luyện tập và Lộ trình tiến trình của bạn.

Tiếp Tục Với Google
Bằng cách tiếp tục, bạn chấp nhận Điều khoản sử dụng, Chính sách bảo mật và việc dữ liệu của bạn được lưu trữ tại Hoa Kỳ.
Code along with us onCode Along

Vector databases enable semantic search - searching on the meaning of the text - to provide higher quality results than traditional keyword search. In this project, you'll learn how to use Pinecone, a popular vector database platform, to do this. You'll start by setting up a developer account with Pinecone and integrating it with DataLab (fka Workspace), and learn how to "embed text" and import it into Pinecone, before using it for search. You'll also learn about embedding dimensions, distance metrics, and other concepts to control the performance of the results.

Chủ đề
Machine Learning
Artificial Intelligence
Data Scientist
Liên quan

podcast

The Power of Vector Databases and Semantic Search with Elan Dekel, VP of Product at Pinecone

RIchie and Elan explore LLMs, vector databases and the best use-cases for them, semantic search, the tech stack for AI applications, emerging roles within the AI space, the future of vector databases and AI, and much more.  
Richie Cotton's photo

Richie Cotton

36 phút

Hướng dẫn

Semantic Search with Pinecone and OpenAI

A step-by-step guide to building semantic search applications using OpenAI and Pinecone in Python.
Moez Ali's photo

Moez Ali

13 phút

Hướng dẫn

Mastering Vector Databases with Pinecone Tutorial: A Comprehensive Guide

Dive into the world of vector databases with our in-depth tutorial on Pinecone. Discover how to efficiently handle high-dimensional data, understand unstructured data, and harness the power of vector embeddings for AI-driven applications.
Moez Ali's photo

Moez Ali

11 phút

Hướng dẫn

Building Intelligent Applications with Pinecone Canopy: A Beginner's Guide

Explore using Canopy as an open-source Retrieval Augmented Generation (RAG) framework and context built on top of the Pinecone vector database.
Kurtis Pykes 's photo

Kurtis Pykes

12 phút

code-along

Building Chatbots with the OpenAI API and Pinecone

Build a chatbot with long term memory using the OpenAI API & PineCone and use it to answer questions about research papers.
James Briggs's photo

James Briggs

code-along

Retrieval Augmented Generation with the OpenAI API & Pinecone

Build a movie recommender system using GPT and learn key techniques to minimize hallucinations and ensure factual answers.
Vincent Vankrunkelsven's photo

Vincent Vankrunkelsven

Xem thêm