Getting Started with ChromaDB - Lowest Learning Curve Vector Database For Semantic Search

Start testing out semantic searches on a vector database within minutes. Everything works locally and is free. Don't need to sign up for a cloud vector database account or learn Langchain first.

[johnnycode]

Please help me out with a subscribe if this video helped you 😀 AND I would love to know what you're doing in your ChromaDB project.

[uryaprakashp]

Now I can put chroma db in my resume. Thanks you creating such a crisp and straightforward tutorial.

[deeplearning]

Short and Sweet! Thank you very much.

[Bryan-mwwj]

Perfect, all i was interested in was persisting the database. Thanks for adding that at the end

[sanjeevKumar-eghp]

Such an amazing video man, Thanks for this valuable Knowledge

[youngzproduction]

Concise and precise are what you did here.

[sherozeajmal]

Man, that was amazing. Thank you so much.

[kenchang]

You have a new subscriber. This video was very timely for my proof of concept.

[davidtindell]

Good Intro / Review. Thank You from a NEW Subscriber !!!

[kenchang]

The POC use case I want to try is to query vehicle parts based on a user description which can be somewhat vague and keyword search is not ideal most of the time. I'd also want to do search-as-you-type with a vector db. My understanding is that there are embedding models trained on vehicle parts and seeing how easy it so specify a new embedding model although you have to remember the collection, I hope I can prove my POC. In addition, I want to use the persisted collection for other ideas as well. Thanks for making this video it really helps.

[bk]

@johnnycode, Is there any idea how to manage this error that occurs when I try to load previously saved chromadb file, e.g. "vectordb": InvalidDimensionException: Embedding dimension 384 does not match collection dimensionality 768?

[rsg]

Hi there I have a csv file with 150 rows. I have created collection added the document to the collection. when i query the collection the document field is giving me None. ids field gives the correct id but document field is none. What should I do. Is there any size for the field returned by document

[webchicka]

Thank you so much for an easy-to-follow, practical example!

I’m curious about something… at one point in the video you note illustrate that the default embeddings are returning something unrelated (sesame ball) as the #1 choice. Your solution is to swap it out for another embedding provider.

But how would you go about digging in here and debugging further?

[DinosaurSuccess]

what do you do when all-MiniLM-L6-v2 is not very good at judging whats similar? it gets it wrong a lot!

[spinze]

How do the models know that shrimp and prawn is the same thing? Like how did the first model not get all 5 dishes, but the second model found all 5 dishes?

[reubengeorge]

I have a CSV file with 150 rows. I have created a collection and added my document to it. when i query it the document field always contains none but the id field give me the correct id but document field is always none. Is there any size constraint for the document field? How should I solve it?

[SoundTamilan]

Where user defind db space we can create

[djs]

UserWarning: Unsupported Windows version (11). ONNX Runtime supports Windows 10 and above, only. беда с вами...

[kevinehsani]

do you have a list of your code or colab link?

[efexzium]

U should really sell ur code everyone's benefiting for free.