| """ |
| Enterprise Knowledge Assistant - FINAL Complete Chatbot Function (v2) |
| Fixed: query rewriting now preserves intent instead of drifting/elaborating. |
| """ |
|
|
| def ask_chatbot_final_v2(query, embedding_model, index, all_chunks, groq_client, |
| router_model, tokenizer, label_encoder, |
| domain_indices, domain_chunks_map, |
| qa_model, qa_tokenizer, |
| classify_query_fn, retrieve_hybrid_fn, generate_with_groq_fn, extract_exact_answer_fn, |
| top_k=5, hallucination_threshold=0.95): |
| |
| domain, confidence_or_probs = classify_query_fn(query, router_model, tokenizer, label_encoder) |
| router_confidence = float(confidence_or_probs.max()) if hasattr(confidence_or_probs, 'shape') else float(confidence_or_probs) |
|
|
| rewrite_prompt = f"""Rewrite this question to be clearer for a document search system. |
| Keep it SHORT and preserve the EXACT original meaning. Do not add new concepts, legal terms, or expand the scope. |
| If the question uses casual phrasing (e.g. "become a mother"), just convert it to the standard term (e.g. "maternity leave"), nothing more. |
| |
| Original question: {query} |
| |
| Rewritten question (short, same meaning):""" |
| rewritten = generate_with_groq_fn(rewrite_prompt, groq_client).strip() |
|
|
| results = retrieve_hybrid_fn(rewritten, domain, embedding_model, domain_indices, domain_chunks_map, |
| index, all_chunks, top_k=top_k) |
|
|
| best_distance = results[0][0] |
| if best_distance > hallucination_threshold: |
| return {'narrated_answer': "I couldn't find information about this in the available documents.", |
| 'exact_quote': None, 'quote_confidence': None, 'source': None, 'domain': domain} |
|
|
| context_text = "\n\n".join([f"[Source: {c['domain']} - {c['title']}]\n{c['text']}" for dist, c in results]) |
| prompt = f"""You are an enterprise knowledge assistant. Answer using ONLY the context below. |
| Directly explain WHAT the policy/content actually says, in clear detail. Cite sources after explaining substance. |
| |
| Context: |
| {context_text} |
| |
| Question: {query} |
| |
| Answer:""" |
| generative_answer = generate_with_groq_fn(prompt, groq_client) |
|
|
| best_chunk_text = results[0][1]['text'] |
| exact_answer, extract_confidence = extract_exact_answer_fn(rewritten, best_chunk_text, qa_model, qa_tokenizer) |
|
|
| return {'narrated_answer': generative_answer, 'exact_quote': exact_answer, |
| 'quote_confidence': extract_confidence, 'source': results[0][1]['title'], 'domain': domain} |
|
|
