{"id":96440,"url":"https://github.com/aaronkao/awesome-pinecone","name":"awesome-pinecone","description":"A curated list of awesome Pinecone resources, libraries, tools and applications","projects_count":57,"last_synced_at":"2026-08-03T14:00:18.893Z","repository":{"id":313999987,"uuid":"1050491731","full_name":"aaronkao/awesome-pinecone","owner":"aaronkao","description":"A curated list of awesome Pinecone resources, libraries, tools and applications","archived":false,"fork":false,"pushed_at":"2026-05-01T14:03:54.000Z","size":36,"stargazers_count":15,"open_issues_count":2,"forks_count":2,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-07-15T09:04:23.072Z","etag":null,"topics":["ai","ai-agents","awesome-list","cloud","retrieval-augmented-generation","vector-database","vector-search"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aaronkao.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-04T14:02:26.000Z","updated_at":"2026-04-09T18:51:52.000Z","dependencies_parsed_at":"2026-04-21T14:00:32.427Z","dependency_job_id":"6678082f-1293-4985-9782-e260917840fd","html_url":"https://github.com/aaronkao/awesome-pinecone","commit_stats":null,"previous_names":["aaronkao/awesome-pinecone"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/aaronkao/awesome-pinecone","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaronkao%2Fawesome-pinecone","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaronkao%2Fawesome-pinecone/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaronkao%2Fawesome-pinecone/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaronkao%2Fawesome-pinecone/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aaronkao","download_url":"https://codeload.github.com/aaronkao/awesome-pinecone/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaronkao%2Fawesome-pinecone/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":36238395,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-07-20T02:08:10.276Z","status":"online","status_checked_at":"2026-08-03T02:00:06.975Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2025-10-13T21:45:44.265Z","updated_at":"2026-08-03T14:00:18.894Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Resources","Tools","Libraries","Applications"],"sub_categories":["Articles","Documentation","Shell","Research","Development","Videos","Podcasts","Administration","Deployment","Data Streaming","Low-Code","Misc"],"readme":"# Awesome Pinecone\n\u003e A curated list of awesome Pinecone resources, libraries, tools and applications\n\nFeel free to improve this list by [contributing](CONTRIBUTING.md)!\n\n## Resources\n### Documentation\n- [Quickstart](https://docs.pinecone.io/guides/get-started/quickstart) - Guide on how to set up and use Pinecone Database\n- [Sample Notebooks](https://docs.pinecone.io/examples/notebooks) - Colab notebook walkthroughs\n- [Sample Code](https://docs.pinecone.io/examples/sample-apps) - Sample applications\n- [Architecture](https://docs.pinecone.io/guides/get-started/database-architecture) - Explanation of Pinecone architecture\n- [Release Notes](https://docs.pinecone.io/release-notes/)\n\n### Articles\n- [What is a Vector Database?](https://www.pinecone.io/learn/vector-database/)\n- [What is RAG?](https://www.pinecone.io/learn/retrieval-augmented-generation/)\n- [What is Context Engineering?](https://www.pinecone.io/learn/context-engineering/)\n- [How to Build a RAG Chatbot Without Coding](https://www.productcompass.pm/p/how-to-build-a-rag-chatbot)\n- [Teaching Your AI to Read: A Guide to Scraping, RAG, and Smart Data Insights](https://hackernoon.com/teaching-your-ai-to-read-a-guide-to-scraping-rag-and-smart-data-insights)\n- [Building an AI-Powered Discord Bot with Railway and Pinecone](https://blog.greenflux.us/building-an-ai-powered-discord-bot-with-railway-and-pinecone/)\n- [Full RAG Chatbot in Slack](https://medium.com/@progeorgek/full-rag-chatbot-in-slack-623990db3a3b)\n- [Populate Pinecone from a website using n8n](https://docs.n8n.io/advanced-ai/examples/vector-store-website/)\n- [5 Ways to Automate Pinecone with Zapier](https://zapier.com/blog/automate-pinecone/)\n- [AI Assistants with Document Retrieval (RAG) Using Pinecone](https://community.appsmith.com/content/blog/ai-assistants-document-retrieval-rag-using-pinecone)\n\n### Videos\n- [Getting Started with Pinecone](https://www.youtube.com/watch?v=H6kCi7esgw0) - Walkthrough of Quickstart notebook\n- [Semantic Search and Reranking with Cohere and Pinecone](https://www.youtube.com/watch?v=e7x1wJlmDjs) - How to apply reranking to search pipelines\n- [Why RAG Remains Essential for Modern AI](https://www.youtube.com/watch?v=buvRFJ-snAc) - Learn why RAG remains the backbone of agentic applications\n- [Build Contextual Retrieval with Anthropic and Pinecone](https://www.youtube.com/watch?v=u-ocR-2P_YA)\n- [Multi-Modal Semantic Search Starter Kit](https://x.com/itstomohiro/status/1937914182193541351)\n- [RAG Upload Pipeline](https://www.linkedin.com/posts/madelineosman_friday-show-tell-building-a-custom-rag-ugcPost-7357069914320326657-484b/)\n- [Hybrid RAG: Mastering Context By Combining GraphRAG and VectorRAG](https://www.youtube.com/watch?v=Xb_sIwlqZ0k) - Combining GraphRAG and VectorRAG using LangGraph, neo4j, and Pinecone\n- [Pinecone Assistant API Overview](https://www.youtube.com/watch?v=_lXop0iYWYE)\n- [Pinecone RAG Tutorial](https://www.youtube.com/watch?v=Jfo-gCmm46E)\n- [RAG Setup So Easy It Feels Like Cheating: Pinecone Assistant with n8n](https://www.youtube.com/watch?v=ZWBn_OxellE)\n- [Google's New Model + Claude Code Just Changed RAG Forever](https://youtu.be/hem5D1uvy-w)\n- [How I Build $100,000 CEO Systems in 25 mins (AntiGravity)](https://www.youtube.com/watch?v=X__6Zjltw48)\n- [AntiGravity Skills are Cheat Codes (NEW System)](https://www.youtube.com/watch?v=RB_FQieIMIM)\n\n### Podcasts\n- [AI, Ambition, and Innovation](https://open.spotify.com/episode/41KAUsK38UH5Ep49ZcG3xU) - Edo Liberty on Inside the ICE House\n- [Databases in Higher Dimensions](https://open.spotify.com/episode/3wexyIhxZuRCiV7gZovHh1) - Jack Pertschuk, Principal Engineer at Pinecone on Talking Serverless\n- [RAG, Agents, and the Future of AI Memory](https://podcasts.apple.com/us/podcast/rag-agents-and-the-future-of-ai-memory/id1726123221?i=1000757277449) - Roie Schwaber-Cohen on the AI Rebels Podcast covering RAG failure modes, AI grounding, and agent memory.\n\n### Research\n- [Efficient Constant-Space Multi-Vector Retrieval](https://www.pinecone.io/research/efficient-constant-space-multi-vector-retrieval/)\n- [Unveiling DIME: Reproducibility, Scalability, and Formal Analysis of Dimension Importance Estimation for Dense Retrieval](https://www.pinecone.io/research/unveiling-dime-reproducibility-scalability-and-formal-analysis-of-dimension-importance-estimation-for-dense-retrieval/)\n\n## Libraries\n- [Python SDK](https://docs.pinecone.io/reference/python-sdk) - The Pinecone Python SDK is distributed on PyPI using the package name `pinecone`\n- [NodeJS SDK](https://docs.pinecone.io/reference/node-sdk)\n- [Java SDK](https://docs.pinecone.io/reference/java-sdk)\n- [Golang SDK](https://docs.pinecone.io/reference/go-sdk)\n- [.NET SDK](https://docs.pinecone.io/reference/dotnet-sdk)\n- [Rust SDK](https://docs.pinecone.io/reference/rust-sdk)\n\n## Tools\n### Administration\n- [Pinecone Embedding Atlas: Interactive Vector Visualization](https://github.com/martingaida/embedding_atlas) - Explore embeddings directly from a Jupyter notebook\n- [Pinecone Explorer](https://github.com/stepandel/pinecone-explorer) - MacOS desktop app for exploring and managing Pinecone vector databases, with semantic search across 13+ embedding providers, metadata filtering, and batch operations\n\n### Deployment\n- [Terraform](https://docs.pinecone.io/integrations/terraform)\n- [Pulumi](https://docs.pinecone.io/integrations/pulumi)\n\n### Development\n- [Pinecone Assistant MCP](https://github.com/pinecone-io/assistant-mcp)\n- [Pinecone Developer MCP](https://github.com/pinecone-io/pinecone-mcp)\n- [Infinite Context MCP](https://github.com/kayacancode/infinite-context-mcp) - MCP server that stores conversations and retrieves relevant context using Pinecone, reducing prompt bloat across chats and AI models\n\n### Data Streaming\n- [Kafka-To-Pinecone](https://ganeshsivakumar.github.io/langchain-beam/docs/templates/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. \n\n### Low-Code\n- [Zapier](https://help.zapier.com/hc/en-us/articles/38950923151117-How-to-get-started-with-Pinecone-on-Zapier)\n- [n8n Documentation](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepinecone/)\n- [n8n Templates](https://n8n.io/integrations/pinecone-vector-store/)\n\n### Shell\n- [Official Pinecone CLI](https://github.com/pinecone-io/cli)\n\n### Misc\n- [Chonkie](https://docs.chonkie.ai/python-sdk/handshakes/pinecone-handshake) - Chunking library integration with Pinecone\n- [context-window](https://github.com/hamittokay/context-window) - TypeScript RAG toolkit for ingesting documents, creating indexed collections with Pinecone, and querying them with OpenAI\n\n## Applications\n- [Gentic Influencer](https://gentic.co/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.\n- [Pinecone Assistant Demo](https://github.com/jayantarout79/jay-genai-portfolio/tree/main/pinecone_Assistant_demo) - RAG system using the Pinecone Assistant API to upload, index, and query PDF documents\n- [Autonomous RAG Agent](https://github.com/Vyasss/autonomous-rag-agent) - Event-driven agent that routes queries between a Pinecone vector store and local file system using LangChain and Gemini\n- [Skill Seekers](https://github.com/yusufkaraaslan/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\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/aaronkao%2Fawesome-pinecone/projects"}