Systems | Development | Analytics | API | Testing

Using BigQuery DataFrames with CARTO visualization tools can help Python users access cloud-native analytics and generative AI services.

Learn to a knowledge base with an AI chatbot frontend to your BigQuery or unstructured Cloud Storage data using RAG and BigQuery ML.

Learn how to use BigQuery DataFrames together with LLMs to generate synthetic data right inside of BigQuery.

How to use Gemini generative AI models through BigQuery to boost productivity in Google productivity tools like Sheets.

The BigQuery ML.GENERATE_TEXT function lets you use LLMs from Vertex AI within your SQL queries to analyze text in a BigQuery table.

BigQuery now integrates with Sensitive Data Protection with native SQL functions that allow interoperable deterministic encryption and decryption.

BigQuery numeric search indexes enable optimized lookups on INT64 and TIMESTAMP data types.

A look at how to augment LLM results with retrieval augemented generation (RAG) and vector search, directly from BigQuery.

With integration to Vertex AI, you can use multimodal LLMs like Gemini Pro 1.0 and Gemini Vision Pro 1.0 in BigQuery to create marketing campaigns.

Optable’s end-to-end data clean room platform for the advertising industry integrates with BigQuery to enable audience activation and insights.