Connecting S3 and Postgres: Automatic Synchronization Without ETL Pipelines

1. pgvector

   1 117 17,259 9.0 C

   Open-source vector similarity search for Postgres

   

   AI applications using RAG (retrieval-augmented generation) can help businesses unlock insights from mountains of unstructured data. Today, that unstructured data’s natural home is Amazon S3. On the other hand, Postgres has become the default vector database for developers, thanks to extensions like pgvector and pgvectorscale. These extensions enable them to build intelligent applications with vector search capabilities without needing to use a separate database just for vectors.

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. pgvectorscale

   2 14 2,171 8.2 Rust

   A complement to pgvector for high performance, cost efficient vector search on large workloads.

   

   AI applications using RAG (retrieval-augmented generation) can help businesses unlock insights from mountains of unstructured data. Today, that unstructured data’s natural home is Amazon S3. On the other hand, Postgres has become the default vector database for developers, thanks to extensions like pgvector and pgvectorscale. These extensions enable them to build intelligent applications with vector search capabilities without needing to use a separate database just for vectors.

4. pgai

   3 19 5,198 9.8 PLpgSQL

   A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

   

   → Try pgai Vectorizer.

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