Llm, Retrieval Augmented Gen, Telecommunication, Chatbots, Retrieval Augmented.
text_chunk in enumerate(text_chunks): page_no = text_chunk.metadata["page"] embeddings = embedding_model.encode(text_chunk) vendor = "Huawei" document_type = "PDF" data_row = { "embedding": embeddings, "document": text_chunk.page_content, "file_name": file_name, "page_no": page_no, "chunk_no":