canopy
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canopy | SpecFlow | |
---|---|---|
13 | 2 | |
830 | 2,198 | |
16.6% | 0.7% | |
9.8 | 0.0 | |
1 day ago | about 1 month 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
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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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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).
- Canopy is an open-source Retrieval Augmented Generation (RAG) framework
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Enhance your Website with AI: Embed a GPT-ChatBot with Flowise
Also, sign up at Pinecone, create a new Chat Application project, and set up a new index (for instance, yogarkana).
SpecFlow
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Specflow on Docker
Or here... https://github.com/SpecFlowOSS/SpecFlow/blob/master/Dockerfile
What are some alternatives?
BDDfy - BDDfy is the simplest BDD framework EVER!
Fluent Assertions - A very extensive set of extension methods that allow you to more naturally specify the expected outcome of a TDD or BDD-style unit tests. Targets .NET Framework 4.7, as well as .NET Core 2.1, .NET Core 3.0, .NET 6, .NET Standard 2.0 and 2.1. Supports the unit test frameworks MSTest2, NUnit3, XUnit2, MSpec, and NSpec3.
xBehave.net - ✖ An xUnit.net extension for describing each step in a test with natural language.
Xunit.Gherkin.Quick - BDD in .NET Core - using Xunit and Gherkin (compatible with both .NET Core and .NET)
LightBDD - BDD framework allowing to create easy to read and maintain tests.
Machine.Specifications - Machine.Specifications is a Context/Specification framework for .NET that removes language noise and simplifies tests.
AutoFixture - AutoFixture is an open source library for .NET designed to minimize the 'Arrange' phase of your unit tests in order to maximize maintainability. Its primary goal is to allow developers to focus on what is being tested rather than how to setup the test scenario, by making it easier to create object graphs containing test data.
NSpec - A battle hardened testing framework for C# that's heavily inspired by Mocha and RSpec.
SpecsFor - SpecsFor is a light-weight Behavior-Driven Development framework that focuses on ease of use for *developers* by minimizing testing friction.
WireMock.Net - WireMock.Net is a flexible product for stubbing and mocking web HTTP responses using advanced request matching and response templating. Based on the functionality from http://WireMock.org, but extended with more functionality.
Fine Code Coverage - Visualize unit test code coverage easily for free in Visual Studio Community Edition (and other editions too)
bUnit - bUnit is a testing library for Blazor components that make tests look, feel, and runs like regular unit tests. bUnit makes it easy to render and control a component under test’s life-cycle, pass parameter and inject services into it, trigger event handlers, and verify the rendered markup from the component using a built-in semantic HTML comparer.