Created
August 30, 2023 14:49
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Using LlamaIndex to ask question about your data
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| # !pip install llama-index monsterapi sentence_transformers --quiet | |
| import os | |
| from llama_index.llms import MonsterLLM | |
| from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext | |
| from llama_index.embeddings import LangchainEmbedding | |
| from langchain.embeddings import HuggingFaceEmbeddings | |
| from sentence_transformers import SentenceTransformer | |
| os.environ["MONSTER_API_KEY"] = "INSERT YOUR API KEY HERE" | |
| model = "llama2-7b-chat" | |
| documents = SimpleDirectoryReader("./data").load_data() | |
| llm = MonsterLLM(model=model, temperature=0.75, context_window=1024) | |
| embed_model = LangchainEmbedding(HuggingFaceEmbeddings()) | |
| service_context = ServiceContext.from_defaults( | |
| chunk_size=1024, llm=llm, embed_model=embed_model | |
| ) | |
| index = VectorStoreIndex.from_documents(documents, service_context=service_context) | |
| query_engine = index.as_query_engine() | |
| response = query_engine.query("Here is a question about your data") | |
| print(response) |
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