Building RAG with Jina AI and SuperDuperDB

SuperDuperDB

SuperDuperDB has integrated Jina Embeddings v2 directly into its data-driven AI operations framework. You can now use Jina AI's state-of-the-art embedding models with their groundbreaking 8k input context to work with your existing data stores via SuperDuperDB's integration libraries.

SuperDuperDB: Bring AI to your favorite database!

Say goodbye to complex MLOps pipelines and specialized vector databases. Integrate and train AI directly with your preferred database, only using Python.

SuperDuperDB

Embedding API

Start with 1M free tokens. Top-performing, 8192 context length bilingual embeddings for your search and RAG systems.

To show you how, we have collaborated with SuperDuperDB on a tutorial creating a Retrieval-Augmented Generation (RAG) application that lets you query SQL databases in plain language.

Implementing a RAG System on DuckDB Using Jina AI and SuperDuperDB | SuperDuperDB documentation

Querying your SQL database purely in human language

SuperDuperDBAnita Okoh

Jina AI

Jina AI is committed to distributing reliable, affordable AI technologies that are easy to use and integrated with common frameworks. We value your feedback, and we’d love to hear about your business needs and discuss how AI can work for you.

For more information about Jina AI’s offerings and to contact us, check out the Jina AI website or join our community on Discord.

Jina AI - Best Embeddings and Perfect Prompts

Jina AI provides best-in-class embedding API and prompt optimizer, easing the development of multimodal AI applications.

Best Embeddings and Perfect Prompts

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