
examples
by pinecone-io (organization)
Jupyter Notebooks to help you get hands-on with Pinecone vector databases (description from the project’s GitHub page)
Repository facts
- Stars
- 3,050
- Forks
- 1,068
- Open issues and pull requests
- 67
- Primary language
- Jupyter Notebook
- License
- MIT License (MIT)
- Owner
- pinecone-io · Organization
- Created
- Mar 9, 2021
- Last push
- Oct 10, 2026
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 618: neuml/txtai
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
13,024 starsPythonApache-2.0Last push Oct 16, 2026
Rank 95: pathwaycom/serviette
A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
58,789 starsPythonMITLast push Oct 16, 2026
Rank 6,082: PrithivirajDamodaran/FlashRank
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da…
1,010 starsPythonApache-2.0Last push Jul 11, 2026
Rank 8,351: winstonkoh87/Athena-Public
Local-first memory, decision engine, and governance harness for AI agents — portable across IDEs. Own the state. Rent the intelligence.
618 starsPythonMITLast push Oct 18, 2026
Rank 616: StarTrail-org/LEANN
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application…
13,033 starsPythonMITLast push Oct 17, 2026
Rank 483: memvid/memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
16,603 starsRustApache-2.0Last push Jul 14, 2026