Updates to the configs
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3 changed files with 21 additions and 4 deletions
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@ -95,10 +95,9 @@ cognee.add([text], "example_dataset") # Add a new piece of information
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cognee.cognify() # Use LLMs and cognee to create knowledge
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cognee.cognify() # Use LLMs and cognee to create knowledge
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search_results = cognee.search("SIMILARITY", "computer science") # Query cognee for the knowledge
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search_results = cognee.search("SIMILARITY", {'query': 'Tell me about NLP'}) # Query cognee for the knowledge
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for result_text in search_results[0]:
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print(search_results)
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print(result_text)
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```
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```
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Add alternative data types:
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Add alternative data types:
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@ -130,7 +130,7 @@ async def cognify(datasets: Union[str, List[str]] = None):
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logger.warning("File (%s) has an unknown file type. We are skipping it.", file_metadata["id"])
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logger.warning("File (%s) has an unknown file type. We are skipping it.", file_metadata["id"])
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added_chunks = await add_data_chunks(data_chunks)
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added_chunks = await add_data_chunks(data_chunks)
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await add_data_chunks_basic_rag(data_chunks)
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# await add_data_chunks_basic_rag(data_chunks)
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await asyncio.gather(
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await asyncio.gather(
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*[process_text(
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*[process_text(
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@ -105,3 +105,21 @@ class config():
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chunk_config = get_chunk_config()
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chunk_config = get_chunk_config()
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chunk_config.chunk_size = chunk_size
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chunk_config.chunk_size = chunk_size
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@staticmethod
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def set_vector_engine_provider(vector_engine_provider: str):
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vector_db_config = get_vectordb_config()
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vector_db_config.vector_engine_provider = vector_engine_provider
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@staticmethod
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def set_vector_db_key(db_key: str):
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vector_db_config = get_vectordb_config()
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vector_db_config.vector_db_key = db_key
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@staticmethod
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def set_vector_db_url(db_url: str):
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vector_db_config = get_vectordb_config()
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vector_db_config.vector_db_url = db_url
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