Name: Pinecone
Type: Organization
Bio: The vector database for machine learning applications. Build vector-based personalization, ranking, and search systems that are accurate, fast, and scalable.
Twitter: pinecone
Blog: https://www.pinecone.io
Pinecone's Projects
Default community health files for the Pinecone organization
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Envoy access log collector to multiple datasource
Pinecone AWS Reference Architecture
A Typescript implementation of BabyAGI with LangChain
public location for storing artifacts for the BigANN challenge
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
Work seamlessly with Pinecone from the command line
Example scenario workflows for Confluent for Kubernetes
Pinecone Community forum styling
Fast functions for printing floating-point primitives to an io::Write
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Rust language bindings for Faiss
Using Pinecone, LangChain + OpenAI for Generative Q&A with Retrieval Augmented Generation (RAG).
A client-side gRPC channel implementation for tonic
GitHub Action for continuous benchmarking to keep performance
Pinecone.io Golang Client
:mag: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
Homebrew tap for Pinecone
Demo with Python Flask UI based on a web-crawl of Pinecone.io as source data
Images for Pinecone docs.