canopy
MySQL
canopy | MySQL | |
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14 | 146 | |
883 | 10,270 | |
6.0% | 1.5% | |
9.8 | 9.8 | |
7 days ago | 4 days ago | |
Python | C++ | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
canopy
- FLaNK AI Weekly for 29 April 2024
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How to choose the right type of database
Pinecone: A scalable vector database service that facilitates efficient similarity search in high-dimensional spaces. Ideal for building real-time applications in AI, such as personalized recommendation engines and content-based retrieval systems.
- Show HN: R2R – Open-source framework for production-grade RAG
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Using Stripe Docs in your RAG pipeline with LlamaIndex
In this post we’ll build a Python script that uses StripeDocs Reader, a loader on LlamaIndex, that creates vector embeddings of Stripe's documentation in Pinecone. This allows a user to ask questions about Stripe Docs to an LLM, in this case OpenAI, and receive a generated response.
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7 Vector Databases Every Developer Should Know!
Pinecone is a managed vector database service that simplifies the process of building and scaling vector search applications. It offers a simple API for embedding vector search into applications, providing accurate, scalable similarity search with minimal setup and maintenance.
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Using Vector Embeddings to Overengineer 404 pages
In case of AIMD, I am doing this all in-memory, but you could also do this in a database (e.g. Pinecone). It all depends on how much data you have and how much compute you have available.
- Pinecone: Build Knowledgeable AI
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How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving to meet the new challenge.
- FLaNK Stack Weekly 11 Dec 2023
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Embracing Modern Python for Web Development
In the dynamic world of web development, Python has emerged as a dominant force, especially in backend development – the primary focus of this blog post. Although it's worth mentioning that there are ongoing efforts to use Python for the frontend as well, like Reflex (previously known as Pynecone, they presumably had to change their name because of Pinecone vector database), which even garnered support from Y Combinator. Samuel Colvin (creator of Pydantic) is also working on FastUI (he literally just released the first version in December 2023).
MySQL
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The Scoop on SQL
MySQL
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Understanding SQL vs. NoSQL Databases: A Beginner's Guide
SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.
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How to sync your MySQL database with Salesforce in Docker using Boomi
MySQL is an open-source relational database management system (RDBMS) that stores, organizes, and accesses data in a structured format. The prerequisites section discussed Connecting your Boomi Atom runtime and MySQL on Docker, and this section will build on that knowledge.
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From zero to hero: using SQL databases in Node.js made easy
Node.js, MySQL and PostgreSQL servers installed on your machine
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How to dump and restore a Postgres DB with new table ownership
I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.
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How to choose the right type of database
MySQL: A widely-used open-source SQL database, MySQL is efficient for OLTP with its fast data processing and robustness. It is a go-to choice for web-based applications, e-commerce, and online transaction systems.
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
Our orders microservice will have its own set of teachnologies just like we earlier plotted that is mysql database and sequelize orm. MySQL is an open-source relational database management system (RDBMS) that is widely used for building web applications and managing data. It is a popular choice for many developers and organizations due to its performance, reliability, and ease of use. Sequelize is a popular Object-Relational Mapping (ORM) library for Node.js. It provides a way to interact with relational databases like MySQL, PostgreSQL, SQLite, and MSSQL using JavaScript or TypeScript. It simplifies database operations by allowing developers to use JavaScript objects to represent database tables and records, instead of writing raw SQL queries. In this microservice, we will use it to query our MySQL database.
- MySQL has support for external languages
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A Developer's Journal: Simplifying the Twelve-Factor App
Data Stores (Amazon RDS, MySQL, PostgreSQL)
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How to Use MySQL Database in Total.js with QueryBuilderMySQL?
Total.js, a powerful web framework for Node.js, simplifies web application development. Integrating databases like MySQL is crucial for building dynamic applications. In this tutorial, we'll explore how to seamlessly combine MySQL with __ Total.js__ using QueryBuilderMySQL. This intuitive tool streamlines database interactions, making it ideal for both beginners and experienced developers.
What are some alternatives?
ragna - RAG orchestration framework ⛵️
phpMyAdmin - A web interface for MySQL and MariaDB
tiger - Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)
ClickHouse - ClickHouse® is a free analytics DBMS for big data
simple-pgvector-python - An Abstraction Using a similar API to Pinecone but implemented with pgvector python
Apache - Mirror of Apache HTTP Server. Issues: http://issues.apache.org
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Bedrock - Rock solid distributed database specializing in active/active automatic failover and WAN replication
mlx-examples - Examples in the MLX framework
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
tonic_validate - Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
Firebird - FB/Java plugin for Firebird