AI tools for Airbyte PostgreSQL connector documentation
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Kapa.ai is an AI-powered platform that provides instant answers to technical questions by transforming knowledge bases into reliable chatbots. Trusted by leading teams like OpenAI, Docker, and Reddit, Kapa.ai offers a self-service platform to build and manage custom AI assistants, deploy AI chatbots in various channels, and optimize documentation with analytics. With over 40 technical source connectors and LLM-optimized knowledge sources, Kapa.ai helps organizations improve user experience, reduce support tickets, and enhance product decisions.
airbyte
Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's no-code Connector Builder or low-code CDK. Airbyte is used by data engineers and analysts at companies of all sizes to build and manage their data pipelines.
pathway
Pathway is a Python data processing framework for analytics and AI pipelines over data streams. It's the ideal solution for real-time processing use cases like streaming ETL or RAG pipelines for unstructured data. Pathway comes with an **easy-to-use Python API** , allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: **you can use it in both development and production environments, handling both batch and streaming data effectively**. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams. Pathway is powered by a **scalable Rust engine** based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with **Docker and Kubernetes**. You can install Pathway with pip: `pip install -U pathway` For any questions, you will find the community and team behind the project on Discord.
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PyAirbyte
PyAirbyte brings the power of Airbyte to every Python developer by providing a set of utilities to use Airbyte connectors in Python. It enables users to easily manage secrets, work with various connectors like GitHub, Shopify, and Postgres, and contribute to the project. PyAirbyte is not a replacement for Airbyte but complements it, supporting data orchestration frameworks like Airflow and Snowpark. Users can develop ETL pipelines and import connectors from local directories. The tool simplifies data integration tasks for Python developers.
llm-app-stack
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airbyte-platform
Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's low-code Connector Development Kit (CDK). Airbyte is used by data engineers and analysts at companies of all sizes to move data for a variety of purposes, including data warehousing, data analysis, and machine learning.
airbyte-connectors
This repository contains Airbyte connectors used in Faros and Faros Community Edition platforms as well as Airbyte Connector Development Kit (CDK) for JavaScript/TypeScript.
airbyte_serverless
AirbyteServerless is a lightweight tool designed to simplify the management of Airbyte connectors. It offers a serverless mode for running connectors, allowing users to easily move data from any source to their data warehouse. Unlike the full Airbyte-Open-Source-Platform, AirbyteServerless focuses solely on the Extract-Load process without a UI, database, or transform layer. It provides a CLI tool, 'abs', for managing connectors, creating connections, running jobs, selecting specific data streams, handling secrets securely, and scheduling remote runs. The tool is scalable, allowing independent deployment of multiple connectors. It aims to streamline the connector management process and provide a more agile alternative to the comprehensive Airbyte platform.
milvus
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. For more architecture details, see Milvus Architecture Overview. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently a graduate project under LF AI & Data Foundation.