Open taranjeet opened 1 year ago
Hi! I'll try to explain the context where I would use the tool. For work I write a lot of interviews (for TV or podcasts). I would like to upload a varied documents about a character (interviews from youtube, books, articles). Then I would ask for these things:
With a set of summaries, I am clear on the big picture and can start asking specific questions to sharpen certain passages in that character's life
Hi, I was reading the documentation of langchain and found this document:
Vector store-augmented text generation https://python.langchain.com/docs/modules/chains/additional/vector_db_text_generation
Is this something that can also be implemented in embedchain?
Since documents (pdf, web pages etc) are already divided into chunks and added to the vector database for q&a, could it be simple to generate new text from these? @taranjeet
Thanks!
any updates on this ?