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Added more examples to the .env.example file.
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# .env.example | ||
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# OpenAI API key for accessing OpenAI's GPT models | ||
OPENAI_API_KEY= | ||
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# API key for accessing Tavily's services | ||
TAVILY_API_KEY= | ||
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# API key for accessing LangChain's services | ||
LANGCHAIN_API_KEY= | ||
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# Path to the directory where documents are stored | ||
DOC_PATH=./my-docs | ||
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# the name of the embedding model to use for Ollama | ||
# The name of the embedding model to use for Ollama | ||
OLLAMA_EMBEDDING_MODEL= | ||
# the Ollama endpoint to use | ||
OLLAMA_BASE_URL= | ||
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# The Ollama endpoint to use | ||
OLLAMA_BASE_URL= | ||
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# Choose one of the available retrievers by uncommenting the desired retriever: | ||
# RETRIEVER=arxiv | ||
# RETRIEVER=bing | ||
# RETRIEVER=custom | ||
# RETRIEVER=duckduckgo | ||
# RETRIEVER=exa | ||
# RETRIEVER=google | ||
# RETRIEVER=searx | ||
# RETRIEVER=semantic_scholar | ||
# RETRIEVER=serpapi | ||
# RETRIEVER=serper | ||
# RETRIEVER=tavily | ||
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# Example setting for retriever | ||
RETRIEVER=tavily | ||
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# Maximum number of search results to return per query | ||
MAX_SEARCH_RESULTS_PER_QUERY=5 |