Pinecone Python Packages

sphereql

Project high-dimensional embeddings onto a 3D sphere for fast semantic search, spatial queries, category-aware exploration, and interactive visualization.

vector-inspector

A comprehensive desktop application for visualizing, querying, and managing vector database data

evret

Evals framework for Information Retrieval Systems

langformers

🚀 Unified NLP Pipelines for Language Models

osintgpt

An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing

vector-etl

Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications

contextqa

Chat with your data by leveraging the power of LLMs and vector databases

deeprecall

Recursive reasoning engine for vector databases, powered by RLM.

pinecone-pulumi

A Pulumi package for creating and managing Pinecone resources.

mcp-pinecone

Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG

omni-proof

Open-source causal-multimodal engine for creative attribution. Answers why a creative works — not just which one performed better — using Gemini Embedding 2, DoWhy, and EconML.

qnabot

🤖 State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵

megabots

🤖 State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵

repo2vec

A library to index a code repository and chat with it via LLMs.

elysium-knowledge-repository

Elysium Knowledge Repository is an open source initiative to embed all of Humanity's multi-modal knowledge and wisdom.

pineconeutils

PineconeUtils is a Python module designed to handle and process data for embedding and indexing using Pinecone, Cohere, and OpenAI services. This utility module makes it easy to load, chunk, prepare, and upsert data into a Pinecone index, making it ideal for applications involving text embedding and retrieval augmented systems(RAG)

ragpipe-ai

RAG in 3 functions. Ingest any data source into vector databases.

infuseai

InfuseAI is a production-ready platform for building and deploying custom AI applications powered by your own knowledge bases. It combines a powerful RAG (Retrieval-Augmented Generation) pipeline with an intuitive management dashboard and a developer-friendly SDK for seamless integration.

iflow-mcp-mcp-pinecone

Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG