A curated list of awesome Pinecone resources, libraries, tools and applications
Feel free to improve this list by contributing!
- Quickstart - Guide on how to set up and use Pinecone Database
- Sample Notebooks - Colab notebook walkthroughs
- Sample Code - Sample applications
- Architecture - Explanation of Pinecone architecture
- Release Notes
- Pinecone Nexus Quickstart - Get started with Nexus, Pinecone's knowledge engine for agents
- Full-Text Search - Keyword search with fuzzy matching and n-gram substring search alongside vector search
- pg_pinecone - Run Pinecone's vector search engine inside PostgreSQL
- What is a Vector Database?
- What is RAG?
- What is Context Engineering?
- How to Build a RAG Chatbot Without Coding
- Teaching Your AI to Read: A Guide to Scraping, RAG, and Smart Data Insights
- Building an AI-Powered Discord Bot with Railway and Pinecone
- Full RAG Chatbot in Slack
- Populate Pinecone from a website using n8n
- 5 Ways to Automate Pinecone with Zapier
- AI Assistants with Document Retrieval (RAG) Using Pinecone
- Introducing Pinecone Nexus: The Knowledge Engine for Agents - Launch post for Nexus, which pre-compiles company data into task-ready artifacts for agents
- Introducing pg_pinecone - Announcement of the open-source PostgreSQL extension
- Introducing Full-Text Search - Launch post for keyword search in Pinecone
- The Company That Made RAG Mainstream Is Now Betting Against It - The New Stack on Nexus and KnowQL
- Pinecone Nexus Offers a Knowledge Engine for Agents - Computer Weekly's Developer Network on Nexus
- Pinecone Providing Compiled Vector Artifacts to Accelerate AI Agents - Blocks & Files on the Nexus launch
- Pinecone Tutorial: Getting Started with Vector Search in Python (2026) - Hands-on walkthrough from index creation to a Claude-powered RAG pipeline
- Getting Started with Pinecone - Walkthrough of Quickstart notebook
- Semantic Search and Reranking with Cohere and Pinecone - How to apply reranking to search pipelines
- Why RAG Remains Essential for Modern AI - Learn why RAG remains the backbone of agentic applications
- Build Contextual Retrieval with Anthropic and Pinecone
- Multi-Modal Semantic Search Starter Kit
- RAG Upload Pipeline
- Hybrid RAG: Mastering Context By Combining GraphRAG and VectorRAG - Combining GraphRAG and VectorRAG using LangGraph, neo4j, and Pinecone
- Pinecone Assistant API Overview
- Pinecone RAG Tutorial
- RAG Setup So Easy It Feels Like Cheating: Pinecone Assistant with n8n
- Google's New Model + Claude Code Just Changed RAG Forever
- How I Build $100,000 CEO Systems in 25 mins (AntiGravity)
- AntiGravity Skills are Cheat Codes (NEW System)
- AI, Ambition, and Innovation - Edo Liberty on Inside the ICE House
- Databases in Higher Dimensions - Jack Pertschuk, Principal Engineer at Pinecone on Talking Serverless
- RAG, Agents, and the Future of AI Memory - Roie Schwaber-Cohen on the AI Rebels Podcast covering RAG failure modes, AI grounding, and agent memory.
- From Vector Databases to Knowledge Engines: The Next Layer of AI - Pinecone CEO Ash Ashutosh with Peter Levine on AI + a16z, covering the Nexus launch
- The Timelessness of Vector Databases - Ram Sriharsha, CTO at Pinecone, on Dev Interrupted
- The Search Revolution: Dense vs. Sparse Vectors - Jack Pertschuk, Principal Engineer at Pinecone, on What the Dev?
- Efficient Constant-Space Multi-Vector Retrieval
- Unveiling DIME: Reproducibility, Scalability, and Formal Analysis of Dimension Importance Estimation for Dense Retrieval
- VQ-bench: A Composable Vector Quantization Framework - VLDB 2026
- Nearly Optimal Attention Coresets
- Accurate and Efficient Metadata Filtering in Pinecone's Serverless Vector Database - ICML 2025
- Fast and Effective Early Termination for Simple Ranking Functions - SIGIR 2025
- A Flexible Resource for Top-Weighted Comparisons Between Sets and Rankings - SIGIR 2025
- E2Rank: Efficient and Effective Layer-wise Reranking - ECIR 2025
- ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring - ECIR 2025
- Python SDK - The Pinecone Python SDK is distributed on PyPI using the package name
pinecone - NodeJS SDK
- Java SDK
- Golang SDK
- .NET SDK - Archived and no longer maintained
- Rust SDK - Alpha
- langchain-pinecone - Official LangChain integration package for Pinecone
- pinecone-php - PHP client for Pinecone indexes, collections, and vectors
- pinecone-scala - Async Scala client for Pinecone
- Pinecone Embedding Atlas: Interactive Vector Visualization - Explore embeddings directly from a Jupyter notebook
- Pinecone Explorer - MacOS desktop app for exploring and managing Pinecone vector databases, with semantic search across 13+ embedding providers, metadata filtering, and batch operations
- Pinecone for VS Code - Build, test, and operate Pinecone indexes and assistants from inside VS Code
- lazyvec - Terminal UI for browsing and inspecting Pinecone, Qdrant, and Chroma
- VectorDBZ - Desktop app for exploring, managing, and analyzing vector databases, including Pinecone
- Vector-io - Export and import data between Pinecone and other vector databases
- VSB: Vector Search Bench - Benchmarking suite for measuring workload performance across vector databases
- Terraform
- Pulumi
- Pinecone BYOC - Deploy Pinecone in your own AWS, GCP, or Azure account
- Nexus Installer - Self-hosted installer for deploying Pinecone Nexus into your own Kubernetes cluster
- Pinecone Assistant MCP
- Pinecone Developer MCP
- Infinite Context MCP - MCP server that stores conversations and retrieves relevant context using Pinecone, reducing prompt bloat across chats and AI models
- context-mcp - Self-hosted MCP server that crawls your documentation into Pinecone for agent search
- Central Memory Hub - Vendor-neutral organizational memory for multi-agent systems over MCP and REST, backed by Postgres and Pinecone
- Pinecone Agent Skills - Official Agent Skills library for Cursor, GitHub Copilot, Windsurf, Gemini CLI, and more
- Pinecone Plugin for Claude Code - Official Claude Code plugin with Pinecone skills and MCP tools
- Pinecone Plugin for Codex - Official Codex plugin with nine skills and the Pinecone MCP server
- Pinecone Cursor Plugin - Official Cursor plugin for building with Pinecone from the editor
- Pinecone Gemini CLI Extension - Official Gemini CLI extension for managing indexes and assistants from the terminal
- Pinecone Agent Reference - Pinecone-specific instructions to drop into an
AGENTS.mdfile - cultivar - CLI from Pinecone DevRel for testing Agent Skills and docs across agents in sandboxes
- Kafka-To-Pinecone - A data streaming pipeline to consume real-time messages from kafka topic, generate embeddings using OpenAI and upsert vectors into Pinecone index. To support AI agents and RAG applications that continuously require fresh data.
- Zapier
- n8n Documentation
- n8n Templates
- Pinecone n8n Templates - Official ready-to-use n8n workflows for chatting with your data and processing documents
- Pinecone Assistant n8n Node - Official n8n community node for Pinecone Assistant
- OmniRAG-n8n - Self-hosted n8n RAG system that ingests Google Drive documents into Pinecone using Ollama
- Chroma Cloud to Pinecone Migration - Scripts and an Agent Skill to move a Chroma Cloud collection into a Pinecone index, reusing existing embeddings and validating each step before cutover
- pg_pinecone - Open-source PostgreSQL extension that brings Pinecone's vector search to your existing pgvector tables
- Chonkie - Chunking library integration with Pinecone
- context-window - TypeScript RAG toolkit for ingesting documents, creating indexed collections with Pinecone, and querying them with OpenAI
- embedflow - Zero-downtime embedding model upgrades for Pinecone and other vector stores
- 6829 distill - Context layer for LLM agents with write-time deduplication, syncing vectors to Pinecone
- deeprecall - Recursive reasoning engine for agents with a Pinecone vector store adapter
- LarAI Kit - Drop-in RAG and agent toolkit for Laravel with Pinecone as the default vector store
- OneRAG - Python/FastAPI RAG framework that swaps between Pinecone and other vector databases with one config line
- Gentic Influencer - Agent-native influencer search platform that connects via MCP, using Pinecone vector search across 2M+ creator profiles for brand-match scoring and personalized outreach.
- Pinecone Assistant Demo - RAG system using the Pinecone Assistant API to upload, index, and query PDF documents
- Autonomous RAG Agent - Event-driven agent that routes queries between a Pinecone vector store and local file system using LangChain and Gemini
- Skill Seekers - Data preprocessing tool that ingests docs, GitHub repos, PDFs, videos, and 14+ other source types to generate structured knowledge assets for RAG pipelines
- CogniRAG - Hybrid RAG for enterprise documents that fuses Pinecone dense vectors, BM25, and a Neo4j knowledge graph
- DocsFlow - Multi-tenant RAG reference architecture on Next.js, Supabase, and Pinecone with namespace-per-tenant isolation
- Nexus Analyst Demo - Side-by-side comparison of a Nexus-powered analytics agent and a traditional baseline over BigQuery public datasets
- Bird Search - Full-text search combined with multimodal vector search using Gemini Embedding 2
- Better RAG Retrieval - Marimo notebook that teaches when to use which retrieval method
- Agentic AI with Pinecone and Amazon Bedrock - Workshop with notebooks and a Streamlit app for agentic RAG
- Pinecone Assistant 1-Click Deploy - Deploy a Pinecone Assistant chat interface to Vercel in one click
- Getting Started with Pinecone Webinar - Code and data from the monthly getting-started webinar