Data Engineering
For businesses wanting to transform digitally, sharing data between the various departments is not a choice. Even though enterprises are viewed as a unified entity, data within an organization and its functional units are typically fragmented. Data fragmentation hampers an organization’s ability to aggregate and share data effectively, thereby affecting its ability to predict business performance in a timely manner.
Initialization Services
Data Architecture
Automation Architech can help you build system architectures that enable migration of your data from existing databases to new databases or first time collection. We ensure the quality of data and also keep it secure and accessible.
Data Ingestion
Data engineering solutions tackle today’s enterprises’ critical data management, processing, organization, and storage concerns.
Data Governance
Our data engineering practices ensure data quality is not compromised regardless of where it is processed or stored. We set up projects with detailed guidelines and data governance policies. In addition, we perform frequent checks to ensure that the data is still intact.
Ongoing Services
Data Warehousing
Let us help you setup a database system collect, store and manage information from multiple sources. We can provide a systematic and organized way to access, analyze, and present data for purposes.
Data Visualization
We can help develop dynamic, reliable data visualization systems to help you steer your organization to success. By providing all your data in a single logical layer that is curated, secure, and serves a variety of users, we help eliminate bottlenecks and make sense of your data.
Data Scaling
When you need to scale your existing data flow systems, let us help build it out! We handle every aspect of your data scaling, including strategy, growth, documentation, and content.
Projects
Use this API in your data pipelines to:
- archive and transcribe meetings across Google Meet, Zoom, etc.
- access transcript data from Loom update videos
Click here to access the Apify Actor!
Need to connect your GPT to a unique API or function? We can help give your bot hands
Need 50,000 PDF’s extracted from a platform and stored securely in your infrstracture of choice? Book a consultation with us today to learn more about how we can build robust scrapers that bypass even the toughest of anti-scraping measures.
Prepare your raw data for consumption by ChatGPT and other LLM-powered applications by embedding your data in an AI-friendly manner. We can bring vectors directly to your postgres database, or help you setup SOTA vectorstores like Pinecone or Chroma.
What is Text Embedding?
Text embedding, also known as vectorization, is a technique that converts textual data into numerical vector representations. Each word, phrase, or document is mapped to a unique vector, where similar texts have similar embeddings in the high-dimensional vector space. The key idea is that these numerical embeddings capture the semantic relationships and contexts of the original text, allowing artificial intelligence models to effectively process and reason about language data.
What is Vectorization?
Vectorization is a fundamental process in modern AI and NLP systems. It involves converting text data, which is inherently unstructured and challenging for machines to understand, into numerical vectors or arrays of numbers.
How do I Save Data for ChatGPT?
How do I Save Data for ChatGPT?
To save data for use with ChatGPT or other language models, you typically follow a multi-step process involving raw data collection, storage, and vectorization/embedding.