Updated README.md to provide a more detailed explanation of how MindF…

…low works: Co-authored-by: MindFlow <[email protected]>

README.md

@@ -118,7 +118,7 @@ Make some changes to your branch and stage, and then commit them. Then, run `mf
 ![Screenshot 2023-03-11 at 8 42 11 PM](https://user-images.githubusercontent.com/26421036/224524839-45093b5d-b4d9-4dc4-a129-867d819a2136.png)
 
 ## How does it work?
-MindFlow uses state-of-the-art methods for high-throughput segmentation, processing, storage, and retrieval of documents using a recursive hierarchical summarization and embedding technique to achieve fast, and high-quality responses to questions and tasks. MindFlow then uses the embeddings made from the hierarchical summarization tree to generate embeddings of the indexed documents and your query and selects the top text chunks based on the cosine similarity between these embeddings. The generated index can be saved to a JSON file for later reuse, making subsequent searches faster and cheaper.
+MindFlow uses state-of-the-art methods for high-throughput segmentation, processing, storage, and retrieval of documents using a recursive hierarchical summarization and embedding technique to store embedding vectors for document chunks and then achieve fast, and high-quality responses to questions and tasks by appending similar document chunks based on the hierarchically embedded text and using them as context for you query. Additionally, chat history will persist if it can fit in the context for queries over indexed documents or for regular chat.
 
 ## What's next for MindFlow
 In the future, MindFlow plans on becoming an even more integral part of the modern developer's toolkit. We plan on adding the ability to ditch traditional documentation and instead integrate directly with your private documents and communication channels, allowing for a more seamless and intuitive experience. With MindFlow, you can have a true "stream of consciousness" with your code, documentation, and communication channels, making it easier than ever to stay on top of your projects and collaborate with your team. We are excited to continue pushing the boundaries of what's possible with language models and revolutionizing how developers work.