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Open-source RAG framework optimized for large-scale and real-time data.
Use Neum AI to bring up-to-date context into your AI applications.

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Powerful tools to configure your RAG pipelines in seconds

🔓 Open-source SDKs to compose data flows

RAG-first framework to build performant, scalable and reliable data pipelines. Focused on key data transformations like loading, chunking and embedding.

🧱 Built-in connectors to common services

Choose from connectors for data sources, embedding models and vector databases. Add your own connectors using our open-source framework.

🚀 Test and deploy your pipelines

Run your data pipelines locally using open-source SDKs and directly deploy those same pipelines to the Neum AI cloud.

Production-ready scale and quality for RAG

Scale

Distributed architecture that optimizes embedding generation and ingestion to handle billions of data points.

Sync

Keep your vectors in sync with built-in pipeline scheduling and real-time syncing.

Data Management

Neum AI cohesively tracks and augments metadata to provide rich retrieval experience.

Logs and Analytics

Monitor your data pipelines to ensure your data is correctly being synced into your vector database.

Smart Retrieval

Built-in retrieval informed by the organization of your data and the metadata associated to it.

Context Augmentation

Improve context quality by providing feedback on retrieval quality.

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Real-time data embedding and indexing for RAG with Neum and Supabase

Real-time synchronization of embeddings into vector databases is now trivial! Learn how to create a real-time Retrieval Augmented Generation pipeline with Neum and Supabase.
Kevin Cohen
November 25, 2023
•
8
min read
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Building scalable RAG pipelines with Neum AI framework - Part 2

Following the release of Neum AI framework, an open-source project to build large scale RAG pipelines, we explore how to get started building with the framework in a multi-part series. In this blog, we go deep into leveraging distributed architecture tools like Celery and Redis Queues to build a solution to handle large datasets.
David de Matheu
November 23, 2023
•
15
min read
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Building scalable RAG pipelines with Neum AI framework  -  Part 1

Following the release of Neum AI framework, an open-source project to build large scale RAG pipelines, we explore how to get started building with the framework in a multi-part series.
David de Matheu
November 22, 2023
•
15
min read
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Retrieval Augmented Generation at scale - Building a distributed system for synchronizing and ingesting billions of text embeddings

In this blog post we will go into some technical and architectural details of how we do this at Neum AI, specifically on how we did this for a pipeline syncing 1 billion vectors.
Kevin Cohen
November 14, 2023
•
20
min read
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FAQs

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