Aperag: Production-Ready Graphrag with Multi-Modal Indexing and K8s Deployment

Posted4 months agoActive4 months ago

earayu

32 points

14 comments

github.comTechstory

calmmixed

Debate

40/100

GraphragMulti-Modal IndexingKubernetes DeploymentArtificial Intelligence

Key topics

Graphrag

Multi-Modal Indexing

Kubernetes Deployment

Artificial Intelligence

ApeRAG is a production-ready GraphRAG implementation with multi-modal indexing and Kubernetes deployment, sparking discussion on its features, complexity, and comparison to other technologies.

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01Story posted
Sep 8, 2025 at 4:06 AM EDT
4 months ago
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Sep 11, 2025 at 5:18 PM EDT
4d after posting
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13 comments in 84-96h
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Sep 14, 2025 at 6:07 AM EDT
4 months ago
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Discussion (14 comments)

Showing 14 comments

GloriousMEEPT

4 months ago

3 replies

> bash ./02-install-database.sh # Deploys PostgreSQL, Redis, Qdrant, Elasticsearch

geez

sorry but, how much SHIT is it going to take to make AI good?

cpursley

4 months ago

1 reply

What’s funny is Postgres alone can handle this entire workload decently well.

CuriouslyC

4 months ago

1 reply

Postgres isn't a replacement for elastic. You CAN get full text search working in postgres, and for very basic use cases it's good enough, but it's vastly inferior to elastic in terms of features and performance.

freakynit

4 months ago

Exactly. These "extensions".. they are good, but, far from being replacements for dedicated products, the quality of which customers have come to expect.

popalchemist

4 months ago

1 reply

This is a very typical, and pretty bare-bones stack. Almost any production grade webapp above a minimal threshold of complexity will have database, cache, and search.

fishmicrowaver

4 months ago

1 reply

This is just one of a million other wrappers around AI that will be forgotten in a few months.

popalchemist

4 months ago

Yes, and that doesn't change the fact that the stack is typical.

earayuAuthor

4 months ago

Maintaining databases is painful, so ApeRAG uses kubeblocks for all these databases.

davidcox143

4 months ago

1 reply

Congrats on the launch. How does it compare to HelixDB?

https://github.com/HelixDB/helix-db

CharlesW

4 months ago

HelixDB is a database. ApeRAG is an application that uses multiple databases (but that not particular one). Hypothetically, you could fork ApeRAG and modify it to use that database.

srameshc

4 months ago

1 reply

> ApeRAG requires PostgreSQL, Redis, Qdrant, and Elasticsearch. You have two options:

> bash ./02-install-database.sh # Deploys PostgreSQL, Redis, Qdrant, Elasticsearch

Is this built on top of all databases ? I am just trying to understand.

earayuAuthor

4 months ago

1 reply

Yes, ApeRAG uses all these databases.

spott

4 months ago

What does it use for the graph part? Elasticsearch? A Postgres plugin?

cipherself

4 months ago

In the list of features, it mentions:

> vision-based search for comprehensive document understanding

but it's not clear to me what this means, is it just vector embeddings for each image in every document via a CLIP-like model?

In addition, I'd be curious what's the rationale behind using the plethora of databases, given the docs on running it in production spins them all up, I assume they're all required, for instance I'd be curious on the trade-offs between using postgres with something like pg_search (for bm25 support, which vanilla postgres FTS doesn't have) vs using both postgres and ElasticSearch.

The docs are also very minimal, I'd have loved to see at least 1 example of usage.

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ID: 45165751Type: storyLast synced: 11/20/2025, 4:53:34 PM

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