I am getting strange results with embeddings. I have no idea what is going on

[TeaCult]

I' ve just tried to start using embeddings I am on an archlinux with rtx3060. Everything works but results are strange. I have splitted sherlock novel A Study in Scarlet. I am asking for a war Here is the code I use:

import re
def split_text_sntc(text, max_length=500):
    sentences = re.split(r'(?<=[.!?])\s', text)
    chunks, current_chunk = [], ''
    
    for sentence in sentences:
        if len(current_chunk) + len(sentence) <= max_length:
            current_chunk += sentence
        else:
            chunks.append(current_chunk)
            current_chunk = sentence
    
    if current_chunk:
        chunks.append(current_chunk)
    
    return chunks



import os
f=open('Sherlock-A-Study-in-Scarlet.txt')
novel=f.read()
f.close()

for i in range(1):
    #novel=novel.replace('\n\n','\n')
    novel=novel.replace('\n','')

#novel=novel.replace("'","\'")
#novel=novel.replace('"','\\"')
novel=novel.replace('     ',' ')
novel_split=split_text_sntc(novel,max_length=400)


from langchain.embeddings import LlamaCppEmbeddings
llama = LlamaCppEmbeddings(model_path="text-generation-webui/models/llama-2-13b-chat.Q6_K.gguf",n_gpu_layers=30,)


embeddings=[]
cnt=0
for i in novel_split:
    print('Processed %'+str(cnt/len(novel_split)))
    embeddings.append(llama.embed_query(i))
    if cnt==250:
        break
    cnt+=1

import numpy as np
dim=len(embeddings[0])
embeddings_np=[]
for i in embeddings:
    embeddings_np.append(np.asarray(i, dtype=np.float32))

import faiss


index=faiss.IndexFlatL2(dim)
index.add(np.asarray(embeddings_np))

querystr='A character looking for housing, who is also came back from war in Afghanistan'
queryvec=llama.embed_query(querystr)

k=5
D,I = index.search(np.array([queryvec]),k)
for i in I[0]:
    print(novel_split[i].replace('\\"','"'))
    print('#########################################################')

Results are so unrelated I cant belive my eyes.
What am I doing wrong ?
Please help me out. Thank you.