Korvus: Single-query RAG with Postgres
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Korvus: Single-query RAG with Postgres
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Hey folks! 
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Hey folks! 
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We built Korvus, an open-source RAG (Retrieval-Augmented Generation) pipeline that consolidates the entire RAG workflow - from embedding generation to text generation - into a single SQL query, significantly reducing architectural complexity and latency.
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We built Korvus, an open-source RAG (Retrieval-Augmented Generation) pipeline that consolidates the entire RAG workflow - from embedding generation to text generation - into a single SQL query, significantly reducing architectural complexity and latency.
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https://github.com/postgresml/korvus
https://github.com/postgresml/korvus
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Here's some of the highlights:
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Here's some of the highlights:
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- Full RAG pipeline (embedding generation, vector search, reranking, and text generation) in one SQL query
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- Full RAG pipeline (embedding generation, vector search, reranking, and text generation) in one SQL query
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- SDKs for Python, JavaScript, and Rust (more languages planned)
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- SDKs for Python, JavaScript, and Rust (more languages planned)
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- Built on PostgreSQL, leveraging pgvector and pgml
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- Built on PostgreSQL, leveraging pgvector and pgml
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- Open-source, with support for open models
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- Open-source, with support for open models
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- Designed for high performance and scalability
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- Designed for high performance and scalability
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We're eager to get feedback from the community and welcome contributions. Check out our GitHub repo for more details:
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We're eager to get feedback from the community and welcome contributions. Check out our GitHub repo for more details:
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https://github.com/postgresml/korvus
https://github.com/postgresml/korvus
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Korvus: Single-query RAG with Postgres

Hey folks! 

We built Korvus, an open-source RAG (Retrieval-Augmented Generation) pipeline that consolidates the entire RAG workflow - from embedding generation to text generation - into a single SQL query, significantly reducing architectural complexity and latency.

https://github.com/postgresml/korvus

Here's some of the highlights:

- Full RAG pipeline (embedding generation, vector search, reranking, and text generation) in one SQL query
- SDKs for Python, JavaScript, and Rust (more languages planned)
- Built on PostgreSQL, leveraging pgvector and pgml
- Open-source, with support for open models
- Designed for high performance and scalability

We're eager to get feedback from the community and welcome contributions. Check out our GitHub repo for more details:

https://github.com/postgresml/korvus
64b6afa756f1af7b46f1b513
https://cdn-avatars.huggingface.co/v1/production/uploads/64b6afa756f1af7b46f1b513/f6BYi1OjTTsq0FsX4TDOI.png
Alberto Ferrer
BarraHome
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