# Easy Embeddings Indexing Pipelines with Redpanda and Neon

DevFeed: [Easy Embeddings Indexing Pipelines with Redpanda and Neon](<https://devfeed.tech/articles/easy-embeddings-indexing-pipelines-with-redpanda-and-neon-5229.md>)

Original publisher: [Read original article](<https://neon.com/blog/easy-embeddings-indexing-pipelines-with-redpanda-and-neon>)

Author: Tyler Rockwood

Published: 2024-09-06T17:32:45Z

Content type: tutorial

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>)

Tags: [community](<https://devfeed.tech/tags/community.md>), [database](<https://devfeed.tech/tags/database.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [rag](<https://devfeed.tech/tags/rag.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

A tutorial for building a scalable, no-code embeddings indexing pipeline for RAG applications using Redpanda Connect, Ollama, and Neon with pgvector.

## Source excerpt

Building high throughput, scalable embeddings indexing pipelines can be a daunting task, often requiring stitching together systems with code that needs to scale, handle failures and ensure delivery guarantees. However, with powerful tools like Redpanda and Neon, this process can...