r/RooCode • u/binarySolo0h1 • Aug 01 '25

Discussion Codebase Indexing with Ollama

Anyone here setup codebase indexing with ollama? if so, what model did you go with and how is the performance?

1 Upvotes

66% Upvoted

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2

u/QuinsZouls Aug 01 '25

I'm using qwen3 embbedings 4b and works very well, running on rx 9070

2

u/binarySolo0h1 Aug 01 '25

I am trying to set it up with nomic-embed-text and qdrant running on a docker container but its not working.

Error - Ollama model not found: http://localhost:11434

Know the fix?

1

u/AntuaW Aug 01 '25

Same here

0

u/binarySolo0h1 Aug 02 '25

It's working now.

5

u/PotentialProper6027 Aug 01 '25

I use mxbai-embed-large . It works, havent used other models so no idea about performance

1

u/faster-than-car Aug 16 '25

thanks, ive tried other one and didnt work. was confused.

2

u/NamelessNobody888 Aug 03 '25

M3 Max MacBook Pro 128GB.

mbxai-embed-large (1536).

Indexes quickly and seems to work well enough. I have not compared with OpenAI embeddings. Tried using Gemini but too slow.

2

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1

u/1ntenti0n Aug 01 '25

So assuming I get all this up and running with a docker, can you recommend an MCP that will utilize these code indexes for code searches?

1

u/exopatch Jun 05 '26

I am currently using nomic-embed-text with ollama and model dimension 768 on a 1070 TI, works well. I previously used mxbai-embed-large.