Korvus

One query to rule them all

80 followers

One query to rule them all

80 followers

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Korvus is 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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Launch tags:Open Source•Developer Tools•Artificial Intelligence

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Korvus

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Hey there product hunters, 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. Here are the spark notes: - 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 Korvus utilizes Postgres' advanced features to perform complex RAG operations natively within the database. We're also the developers of PostgresML, so we're big advocates of in-database machine learning. This approach eliminates the need for external services and API calls, potentially reducing latency by orders of magnitude compared to traditional microservice architectures. It's how our founding team built and scaled the ML platform at Instacart. We're eager to get feedback from the community and welcome contributions. Check out our GitHub repo for more details, and feel free to hit us up in our Discord!

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2yr ago

@cassandra_pgml Cheers to the team behind this! Wishing you all the best on this new adventure. What are you most excited about with this launch?

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2yr ago

DepsHub

Congrats on the launch! I encountered a similar issue while working on DepsHub (to convert codebase into embeddings and perform searches afterward), so it's great to see someone attempting to address this problem at scale. Is it possible to self-host? How challenging would it be to convert existing embeddings table to use this tool?

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2yr ago

ToyPal

Gratz on the launch, good job by you and your team. Can I self host the database using pgml?

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2yr ago

Korvus

Maker

@m4jiz Hey Majid! Yes you can self-host pgml! Here are the docs: https://postgresml.org/docs/reso...

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2yr ago

ToyPal

@cassandra_pgml cool, thanks Cassandra

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2yr ago

Congrats on the launch @cassandra_pgml! Korvus sounds amazing, especially integrating the whole RAG workflow into one SQL query. Do you guys have plans to support other databases besides PostgreSQL in the future? Thanks!

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2yr ago