Library/pinecone-python-clientForked

pinecone-io/pinecone-python-client

pinecone-python-client

The Pinecone Python client

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Builder

pinecone-io

pinecone-io • individual

Stars

425

Using upstream star count

Forks

119

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Sep 16, 2021

Project creation date

README Summary

The Pinecone Python client is an official SDK that provides a simple interface for interacting with Pinecone's vector database service. It enables developers to perform vector operations like indexing, querying, and managing high-dimensional data for similarity search and machine learning applications. The client supports both gRPC and REST API protocols for optimal performance and flexibility.

AI Dev Skills

Unmapped

Vector EmbeddingsSemantic SearchRetrieval-Augmented GenerationVector Database ManagementSimilarity SearchDense Vector RetrievalApproximate Nearest Neighbor SearchVector IndexingInformation RetrievalAPI Client DesignDistributed SystemsRetrieval-Augmented Generation (RAG)Embedding Storage and RetrievalAPI Client DevelopmentPython SDK Development

Taxonomy

AI Trends

Retrieval-Augmented Generation Compound AI Systems Vector-based Machine Learning Semantic Search Infrastructure Vector-based Information Retrieval Vector Databases LLM-integrated Applications

Deployment Context

Cloud API Serverless

Industries

Developer Tools Enterprise Software

Modalities

Text Embeddings

Skill Areas

Vector Embeddings Semantic Search Retrieval-Augmented Generation Vector Database Management Similarity Search Dense Vector Retrieval Approximate Nearest Neighbor Search Vector Indexing Information Retrieval API Client Design Distributed Systems Retrieval-Augmented Generation (RAG)Embedding Storage and Retrieval API Client Development Python SDK Development

Use Cases

Semantic Document Search Similarity-based Recommendation Systems Retrieval-Augmented Generation Pipelines Question Answering over Documents Embedding Storage and Retrieval Machine Learning Model Serving with Vector Lookups Retrieval-Augmented Generation Question Answering Systems Vector Similarity Search Natural Language Search Semantic Search on Document Collections Retrieval-Augmented Generation for LLMs Vector Embedding Storage and Query Hybrid Search Applications Metadata Filtering with Vector Search

Recent Activity

Updated 27 days ago

7 Days

30 Days

90 Days

Quality

production

Quality: high
Maturity: production

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created: Sep 16, 2021
Forked: Mar 29, 2026
Your last push: 27 days ago
Upstream last push: 11 days ago
Tracked since: Mar 17, 2026

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