swirl-search
bigquery-utils
swirl-search | bigquery-utils | |
---|---|---|
32 | 6 | |
1,542 | 1,037 | |
4.3% | 1.5% | |
9.8 | 6.1 | |
10 days ago | 3 days ago | |
Python | Java | |
Apache License 2.0 | Apache License 2.0 |
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swirl-search
- GitHub - swirlai/swirl-search: Swirl is an open-source search platform that uses AI to search multiple content and data sources simultaneously, finds the best results using a reader LLM, then prompts Generative AI, enabling you to get answers based on your data.
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Swirl Security Overview
Understanding an Open Source Search Platform: Swirl
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Swirl Search: Open Source Enterprise Search 🔍 to Securely 🔐 Search your Data.
Give ⭐ to Swirl on GitHub
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These 5 Open Source AI Startups are changing the AI Landscape
Star Swirl on GitHub and become part of this exciting AI search evolution! 🌟
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[Python 🐍 Mastery] Overview of Linked List in Python & Essential Linked List Operations 🛠️
Swirl is an open-source Python project. Contributing to Swirl can help you gain production-level knowledge of Python and improve your skills.
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[Python 🐍 Mastery] Python's Object-Oriented Programming Overview and Fundamentals ⭐️
Note: This is not how you write a search engine. There's a lot more stuff that goes into it. If you want to know more, check this GitHub Repository:github.com/swirlai/swirl-search
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Contribute to Swirl this Hacktoberfest. Win Swags up to $100
Give Swirl a Star 🌟 on GitHub. To receive updates from discussions and releases. Click on the image
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Running Swirl Search🌌in an instant on Gitpod🌐💻and GitHub Codespaces🌩️🚀
Swirl is an open-source search engine which is built using Python and Django. Things which makes Swirl more special is that individual developers and organizations can use Swirl without paying single penny and even customize the search results by connecting to Database (E.g. SQL, NoSQL), Public Data Services (E.g. Google) and Enterprise Sources (E.g. Jira). GitHub Link: https://github.com/swirlai/swirl-search
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Your full guide to contributing to SWIRL 🌌
Hello Devs, The team at Swirl has created this amazing guide which contains all the relevant information for anyone who wants to extend Swirl by adding SearchProviders, Connectors, and Processors.
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7 Open-Source Search Engines for your Enterprise and Startups you MUST know.
Swirl is an open-source search platform software that simultaneously searches multiple content sources and returns AI-ranked results. You can also use Generative AI Models to get answers based on your data. It’s written in Python.
bigquery-utils
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Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research.
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Modern data stack: scaling people and technology at FINN
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining fragmented data) for analysis are essentially what "Data Transformations" entail. At FINN, technologies utilized in this phase include BigQuery as a data warehouse, dbt for data transformation, and a combination of GitHub Actions and Datafold for quality assurance.
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Running Transformations on BigQuery using dbt Cloud: step by step
Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud. Let's dive in!
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Do I need a cloud computing–based data cloud company
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over.
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I used ChatGPT to get an Internship
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery)
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Wrangling BigQuery at Reddit
Within the audit logs you can find BigQueryAuditMetadata details in the protoPayload.metadataJson submessage in the Cloud Logging LogEntry message. GCP has offered several versions of BigQuery audit logs so there are both older “v1” and newer “v2” versions. The v1 logs report API invocations and live within the protoPayload.serviceData submessage while the v2 logs report resource interactions like which tables were read from and written to by a given query or which tables expired. The v2 data lives in a new field formatted as a JSON blob within the BigQueryAuditMetadata detail inside the protoPayload.metadataJson submessage. In v2 logs the older protoPayload.serviceData submessage does exist for backwards compatibility but the information is not set or used. We scrape details from the JobChange object instead. We referenced the GCP bigquery-utils Git repo for how to use INFORMATION_SCHEMA queries and audit logs queries.
What are some alternatives?
khoj - Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
solr - Apache Solr open-source search software
DataflowTemplates - Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
dataproc-templates - Dataproc templates and pipelines for solving simple in-cloud data tasks
Resume-Matcher - Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
spark-bigquery-connector - BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.
lambdapi - Serverless runtime environment tailored for code produced by LLMs. Automatic API generation from your code, support for multiple programming languages, and integrated file and database storage solutions.
appengine-java-standard - Google App Engine Standard Java runtime: Prod runtime, local devappserver, Cloud SDK Java components, GAE APIs, and GAE API emulators.
distilabel - ⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.
nodejs-bigquery - Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.