SQLMesh
pg_vectorize: a VectorDB for Postgres
A Postgres extension that automates the transformation and orchestration of text to embeddings and provides hooks into the most popular LLMs. This allows you to do vector search and build LLM applications on existing data with as little as two function calls.
This project relies heavily on the work by pgvector f... See more
A Postgres extension that automates the transformation and orchestration of text to embeddings and provides hooks into the most popular LLMs. This allows you to do vector search and build LLM applications on existing data with as little as two function calls.
This project relies heavily on the work by pgvector f... See more
GitHub - tembo-io/pg_vectorize: The simplest way to orchestrate vector search on Postgres
Fivetran | Automated data movement platform
fivetran.com
Biome
biomejs.dev
Most commonly, ETL means moving data from some source system (e.g. a production database, Slack API) into an analytical data warehouse (e.g. Snowflake) where the data is easier to combine and analyze. Most data teams use a vendor like Fivetran or an orchestration platform like Airflow to do this.
Modal is a great solution for ETL if you are primaril... See more
Modal is a great solution for ETL if you are primaril... See more
Why you should move your ETL stack to Modal
Traditional ETL solutions are still quite powerful when it comes to:
- Common connectors with small-medium data volumes : we still have a lot of respect for companies like Fivetran, who have really nailed the user experience for the most common ETL use cases, like syncing Zendesk tickets or a production Postgres read replica into Snowflake. The only