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less text, better extraction (#1869)

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### What problem does this PR solve?

#1861

### Type of change

- [x] Refactoring
This commit is contained in:
Kevin Hu 2024-08-08 13:56:30 +08:00 committed by GitHub
parent f43db8bc51
commit db8f83104f
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1 changed files with 6 additions and 5 deletions
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graphrag/index.py
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@ -75,10 +75,11 @@ def build_knowlege_graph_chunks(tenant_id: str, chunks: List[str], callback, ent
llm_bdl = LLMBundle(tenant_id, LLMType.CHAT, tenant.llm_id)
ext = GraphExtractor(llm_bdl)
left_token_count = llm_bdl.max_length - ext.prompt_token_count - 1024
left_token_count = max(llm_bdl.max_length * 0.8, left_token_count)
left_token_count = max(llm_bdl.max_length * 0.6, left_token_count)
assert left_token_count > 0, f"The LLM context length({llm_bdl.max_length}) is smaller than prompt({ext.prompt_token_count})"
BATCH_SIZE=1
texts, graphs = [], []
cnt = 0
threads = []
@ -86,15 +87,15 @@ def build_knowlege_graph_chunks(tenant_id: str, chunks: List[str], callback, ent
for i in range(len(chunks)):
tkn_cnt = num_tokens_from_string(chunks[i])
if cnt+tkn_cnt >= left_token_count and texts:
for b in range(0, len(texts), 16):
threads.append(exe.submit(ext, ["\n".join(texts[b:b+16])], {"entity_types": entity_types}, callback))
for b in range(0, len(texts), BATCH_SIZE):
threads.append(exe.submit(ext, ["\n".join(texts[b:b+BATCH_SIZE])], {"entity_types": entity_types}, callback))
texts = []
cnt = 0
texts.append(chunks[i])
cnt += tkn_cnt
if texts:
for b in range(0, len(texts), 16):
threads.append(exe.submit(ext, ["\n".join(texts[b:b+16])], {"entity_types": entity_types}, callback))
for b in range(0, len(texts), BATCH_SIZE):
threads.append(exe.submit(ext, ["\n".join(texts[b:b+BATCH_SIZE])], {"entity_types": entity_types}, callback))
callback(0.5, "Extracting entities.")
graphs = []