first of sorry if my question would result stupid or have no so much sense, i don't have so much experience with langchain and in general with LLM.
So, i have the following scenario
i need to use as an Embedding a book ( 300 pages ) to instruct OpenAI how to use and how to get information from a list of requirements.
I need to pass as well a very large list o requirements as an input source
and i need to ask to the LLM to analyze the list of the requirements, get the metodologies from the document for the analysis and return a list of result derived from that analysis
For example:
List of requirements:
- the car must have two doors
- every car door have at least one window
The book content to define if a car is a car for family or a sporting car, is important too check the doors number.
The question: Give a list of requirements please could you provide me which kind of car and maybe a list of already existing cars in the market.
The example is quite stupid, i know, but is an example to understand that i have different sources and must be treated in different ways.
So, my question:
Is that possible to do in langchain or with any kind of library? if yes could you help me providing an example?
I have already do some test using ChromaDB but the problem is that i have only one database for all the information and the results are very very bad
thanks in advance
