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in this video weamp;#39;re going to take a look at the chroma DB Vector database and this is an open-source AI application database and as you can see here itamp;#39;s got 14,000 stars on GitHub so itamp;#39;s a very popular open source Vector database and chrom ADB can enable applications such as storing embeddings Vector search document storage and more so chrom ADB itamp;#39;s an open- Source Vector database and it has client libraries for Python and JavaScript and this is a very good tool to build applications around large language models so weamp;#39;re going to dive in in this video and weamp;#39;re going to create a chroma DB database and weamp;#39;re going to create some collections in that database with some vectorized data and weamp;#39;re then going to provide queries to the database in order to find the most similar documents in chroma DB to the query that we provide so weamp;#39;re going to do that in this video so letamp;#39;s dive in before we do donamp;#39;t