[D] Having trouble with RAG on company domain data

I have a data set that isn't that large \~200 pdfs. I have done the regular RAG approach with Langchain, extracting text, splitting into chunks, embedding with OpenAi embeddings and FAISS vector storage. However, when I do a similarity search with a question I would like answered it returns the wrong context. The documents are semi-structured information of examined bridges. A question I would like answered is f.e. 'what is the construction date of bridge X?'. When I input this …

data data set embedding embeddings faiss langchain machinelearning openai returns search set storage text vector