Scale GitHub Issues semantic search with CloudQuery, BigQuery, and Vertex AI
Sync GitHub issues to BigQuery with CloudQuery, generate Vertex AI embeddings via BigQuery remote models, and power fast, fully managed semantic search.
Mariano Gappa •
Sync GitHub issues to BigQuery with CloudQuery, generate Vertex AI embeddings via BigQuery remote models, and power fast, fully managed semantic search.
Mariano Gappa •
Turn GitHub issues into instant insights by syncing with CloudQuery, generating pgvector embeddings in PostgreSQL, and querying with natural language.
Mariano Gappa •
How we built a Go-based MCP server to make AI Assistants AI data-aware, bridging code and database, which ended up transforming the way we code.
Mariano Gappa, +1 •
Practical lessons from building an MCP server to bridge LLMs with cloud infrastructure databases, covering tool descriptions, naming, and context limits.
Mariano Gappa, +1 •
Learn how to set up CloudQuery syncs within Databricks, including data transformation and visualization of your cloud asset inventory.
Mariano Gappa •
How CloudQuery solved ClickHouse memory explosion when processing billions of rows of cloud data using an Insert-Splitter with UUID-range bucketing.
Mariano Gappa, +1 •
After six months using ClickHouse as CloudQuery’s backend: what we learned about performance, JOIN limits, sorting keys, materialized views, and benchmarks.
Herman Schaaf, +2 •
CloudQuery’s JSON Flattener Transformer Integration enables you to flatten nested JSON source data into separate, queryable columns for easier analysis.
Mariano Gappa •
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