GitHub - guywaldman/orch: Rust framework for LLM orchestration
What is Pingora
Pingora is a Rust framework to build fast, reliable and programmable networked systems.
Pingora is battle tested as it has been serving more than 40 million Internet requests per second for more than a few years.
Pingora is a Rust framework to build fast, reliable and programmable networked systems.
Pingora is battle tested as it has been serving more than 40 million Internet requests per second for more than a few years.
GitHub - cloudflare/pingora: A library for building fast, reliable and evolvable network services.
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Github Repository
Bookmarklet Maker
OverviewΒΆ
Ballista is a distributed compute platform primarily implemented in Rust, and powered by Apache Arrow.
Ballista has a scheduler and an executor process that are standard Rust executables and can be executed directly, but Dockerfiles are provided to build images for use in containerized environments, such as Docker, Docker Compose, and Kube... See more
Ballista is a distributed compute platform primarily implemented in Rust, and powered by Apache Arrow.
Ballista has a scheduler and an executor process that are standard Rust executables and can be executed directly, but Dockerfiles are provided to build images for use in containerized environments, such as Docker, Docker Compose, and Kube... See more
Overview β Apache Arrow Ballista documentation
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π Introduction
ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
π Features
ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
π Features
- Generate React Components from user stories
- Compose React Components from existing components
- Use a
eylonmiz β’ GitHub - eylonmiz/react-agent: The open-source React.js Autonomous LLM Agent
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LanceDB
LanceDB is an open-source vector database for AI that's designed to store, manage, query and retrieve embeddings on large-scale multi-modal data. The core of LanceDB is written in Rust π¦ and is built on top of Lance, an open-source columnar data format designed for performant ML workloads and fast random access.
Both the database and the un... See more
LanceDB is an open-source vector database for AI that's designed to store, manage, query and retrieve embeddings on large-scale multi-modal data. The core of LanceDB is written in Rust π¦ and is built on top of Lance, an open-source columnar data format designed for performant ML workloads and fast random access.
Both the database and the un... See more
LanceDB - LanceDB
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LangFlow and Flowise are UIs that allow chaining LangChain components in an executable flowchart by dragging sidebar components onto the canvas and connecting them together to create your pipeline.
Ben Auffarth β’ Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
Welcome to prompttools created by Hegel AI! This repo offers a set of open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. The core idea is to enable developers to evaluate using familiar interfaces like code, notebooks, and a local playground.... See more
In just a few lines of codes, you can t
Testing framework for LLM Part
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π€ Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
- Why CrewAI
- Getting Started
- Key Features
- Examples
- Local Open Source Models
- CrewAI x AutoGen x ChatDev
- Contribution
- π¬ CrewAI Discord Community
- Hire Consulting
- Licen
joaomdmoura β’ GitHub - joaomdmoura/crewAI: Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
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