πŸ› οΈ
examples tool by Pinecone Io
⭐ 64.4
πŸ› οΈ
Tool

examples

by Pinecone Io pinecone-io/examples
Free2AITools Nexus Index
64.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 60
P: Popularity 69
R: Recency 98
Q: Quality 70
Tech Context
Vital Performance —
Source β†’
Jupyter Notebook Lang
Open Source 3.0K Stars
Alpha Reliability
Tool Information Summary
Entity Passport
Registry ID pinecone-io/examples
License MIT
Provider github
πŸ“œ

Cite this tool

Academic & Research Attribution

BibTeX 
@misc{gh_tool_pinecone_io_examples,
  author = {Pinecone Io},
  title = {examples Tool},
  year = {2021},
  howpublished = {\url{https://github.com/pinecone-io/examples}},
  note = {Accessed via Free2AITools.}
}
APA Style
Pinecone Io. (2021). examples [Tool]. Free2AITools. https://github.com/pinecone-io/examples

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ GitHub Clone
git clone https://github.com/pinecone-io/examples
πŸ™ Git Clone
git clone https://github.com/pinecone-io/examples

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 60
Popularity (P) 69
Recency (R) 98
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for examples: Authority (A:60), Popularity (P:69), Recency (R:98), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“‹ Specs

Language
Jupyter Notebook
License
MIT
Version
β€”
Explore Source Node

Technical Documentation

Long term memory for Artificial Intelligence

Pinecone Examples

This repository is a collection of sample applications and Jupyter Notebooks that you can run, download, study and modify in order to get hands-on with Pinecone vector databases and common AI patterns, tools and algorithms.

Two kinds of examples

This repo contains:

  1. Production ready examples in ./docs that receive regular review and support from the Pinecone engineering team
  2. Examples optimized for learning and exploration of AI techniques in ./learn and patterns for building different kinds of applications, created and maintained by the Pinecone Developer Advocacy team.

We appreciate your feedback and contributions. Please see CONTRIBUTING.md for information on how to contribute to this repo.

Getting started

Please see our Getting started guide in our learn section for detailed instructions and a walkthrough of setting up and running a Jupyter Notebook in Google Colab for experimentation.

We love feedback!

As you work through these examples, if you encounter any problems or things that are confusing or don't work quite right, please open a new issue :octocat:.

Getting support and further reading

Visit our:

Contributing

See CONTRIBUTING.md for guidelines on how to contribute.

Social Proof

GitHub Repository
3.0KStars
1.1KForks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
gh-tool--pinecone-io--examples
slug
pinecone-io--examples
source
github
author
Pinecone Io
license
MIT
tags
ai, jupyter-notebook, llm, python, semantic-search, vector-database, pinecone, rag, vector-search, jupyter notebook

βš™οΈ Technical Specs

pipeline tag
other

πŸ“Š Engagement & Metrics

downloads
0
stars
3,037
forks
1,070
github stars
3,037

Data indexed from public sources. Updated daily.