Korvus

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Korvus is an AI Agents & Automation tool that unifies the entire RAG pipeline in a single database query. Built on Postgres, it offers high-performance, customizable search capabilities with minimal infrastructure concerns.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is korvus?

Korvus is an all-in-one, open-source RAG (Retrieval-Augmented Generation) pipeline built specifically for Postgres. It integrates LLMs, vector memory, embedding generation, reranking, summarization, and custom models into a single SQL query, significantly boosting performance and simplifying search architecture. By leveraging Postgres's robust capabilities, Korvus eliminates the need for external services and API calls, reducing latency and complexity. It provides SDK support for Python, JavaScript, Rust, and C, allowing seamless integration into existing tech stacks. This approach offers a simplified architecture, high performance, and scalability, making it ideal for developers looking to build efficient RAG applications directly within their database.

Best used for

Ideal for data scientists and software developers who need to build high-performance RAG applications, integrate LLMs with vector search, and simplify their search architecture. Especially valuable for those seeking to leverage Postgres's capabilities for an all-in-one RAG solution.

Common actions

build RAG pipelines

integrate LLMs

perform vector search

generate embeddings

simplify database queries

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Capabilities

Key features

Postgres-native RAG
Single SQL query
Multi-language SDK
Unified RAG pipeline
Vector memory
Embedding generation

Target Audience

data scientistsoftware developer

Integrations

postgres

Pricing & Plans

Open Source

Free

FAQs

What programming languages does Korvus support?

Korvus provides SDK support for Python, JavaScript, Rust, and C. This allows developers to seamlessly integrate the RAG pipeline into their existing tech stacks using their preferred language bindings.

How does Korvus simplify the RAG pipeline?

Korvus unifies the entire RAG pipeline, including LLMs, vector memory, embedding generation, reranking, and summarization, into a single SQL query. This eliminates the need for external services and API calls, reducing latency and architectural complexity.

What are the prerequisites for using Korvus?

To use Korvus, you need a Postgres database with the pgml and pgvector extensions installed. You can either set up a self-hosted database or use PostgresML Cloud, which provides a managed service with these extensions pre-installed.

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Also listed in

This tool also appears in

Coding & Development › Backend & APIs Data & Analytics › SQL & Querying

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