Community Discussions

Adding images to an existing text search with [Marqo](https://saaskart.co/software/marqo) sounds appealing. What did the migration and re-indexing involve?

Image embeddings are big. How is [Marqo](https://saaskart.co/software/marqo) handling storage and query speed for large image collections?

Using [Marqo](https://saaskart.co/software/marqo) as the retrieval layer in RAG is straightforward given built-in embeddings. How does it compare to a classic v

Out-of-the-box relevance is a Marqo selling point, but real data needs tuning. What levers in [Marqo](https://saaskart.co/software/marqo) improved your search q

For those on [Marqo](https://saaskart.co/software/marqo) Cloud, how does pricing scale with index size and query volume, and has it stayed predictable?

Running [Marqo](https://saaskart.co/software/marqo) yourself bundles inference and search in one container. What are the resource requirements and scaling consi

[Marqo](https://saaskart.co/software/marqo) supports fine-tuned models for domain-specific search. How much did a custom model improve relevance over a general

You can pair Qdrant with a separate embedding service instead of using [Marqo](https://saaskart.co/software/marqo). Which gave you more control and better relev

For e-commerce, combining images and text is powerful. How is [Marqo](https://saaskart.co/software/marqo) performing for multimodal product search versus a text

[Marqo](https://saaskart.co/software/marqo) removes the separate embedding step, but that couples model and store. Where has this integrated approach helped or

If you outgrow [Chroma](https://saaskart.co/software/chroma), how painful is exporting embeddings and metadata to Qdrant, Weaviate, or Milvus?

[Chroma](https://saaskart.co/software/chroma) started single-node focused. What are people doing when one instance is not enough, short of switching databases?

Filtering by metadata alongside similarity in [Chroma](https://saaskart.co/software/chroma) is common for multi-user apps. How well does it perform as collectio

For those on the managed [Chroma](https://saaskart.co/software/chroma) Cloud, how is performance and pricing compared to self-hosting the server?

[Chroma](https://saaskart.co/software/chroma) is a default vector store in many LangChain tutorials. Any pitfalls with metadata filtering or persistence when us

[Chroma](https://saaskart.co/software/chroma) lets you plug in different embedding functions. Which embeddings gave you the best retrieval quality for your docu

Local [Chroma](https://saaskart.co/software/chroma) stores data on disk. How are people handling persistence, backups, and moving collections between environmen

[Chroma](https://saaskart.co/software/chroma) can run in-process or as a server. How did you decide, and did you have to switch modes as the app grew?

For a modest RAG app, [Chroma](https://saaskart.co/software/chroma) is dead simple. What did you gain or lose choosing it over Qdrant early on?

[Chroma](https://saaskart.co/software/chroma) is loved for prototyping, but how far does it scale in production? At what point did people move to a heavier vect