Leonardo Bolognesi

`vectordb = Chroma( persist_directory=persist_directory, collection_name=collection_name, embedding_function=embeddings).as_retriever()` like `vectorstore = Chroma.from_documents(documents, embeddings).as_retriever()`

Additionally, we aim to transform our AI assistant into an active participant in meetings. During meetings, the assistant should be able to respond to queries (using tools that retrieve information...