Llamaindex prompt (#48)

* Openai activeloop data (#37)

* adding openai and activeloop data

* fixing issues with names

* concurrency

* black

* black

* revert to gradio3.50 for concurrency

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Co-authored-by: Omar Solano <[email protected]>

* ensure gradio version for HF

* Updates to files

* Push to advanced rag course

* edits to prompt

* llama-index too

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Co-authored-by: Omar Solano <[email protected]>

cfg.py

@@ -68,12 +68,12 @@ buster_cfg = BusterConfig(
         "check_question_prompt": """You are a chatbot, answering questions about large language models and artificial intelligence.
 Your job is to determine whether user's question is valid or not. Users will not always submit a question either.
 Users will ask all sorts of questions, and some might be tangentially related to artificial intelligence (AI), machine learning (ML) and natural language processing (NLP).
-Users will learn to build LLM-powered apps, with LangChain & Deep Lake among other technologies including OpenAI, RAG and more.
-As long as a question is somewhat related to the topic of AI, ML, NLP and techniques used in AI like vectors, memories, embeddings, tokenization, encoding, etc., respond 'true'. If a question is on a different subject or unrelated, respond 'false'.
+Users will learn to build LLM-powered apps, with LangChain, LlamaIndex & Deep Lake among other technologies including OpenAI, RAG and more.
+As long as a question is somewhat related to the topic of AI, ML, NLP, RAG, data and techniques used in AI like vectors, memories, embeddings, tokenization, encoding, databases, etc., respond 'true'. If a question is on a different subject or unrelated, respond 'false'.
 Make sure the question is a valid question.
 
 Here is a list of acronyms and concepts related to Artificial Intelligence AI that you can accept from users, they can be uppercase or lowercase:
-[TQL, Deep Memory, LLM, Llama, GPT, NLP, RLHF, RLAIF, Mistral, SFT, Cohere, NanoGPT, ReAct, LoRA, QLoRA, LMMOps, Alpaca, Flan, Weights and Biases, W&B, IDEFICS, Flamingo, LLaVA, BLIP, Falcon]
+[TQL, Deep Memory, LLM, Llama, llamaindex, llama-index, lang chain, langchain, llama index, GPT, NLP, RLHF, RLAIF, Mistral, SFT, Cohere, NanoGPT, ReAct, LoRA, QLoRA, LMMOps, Alpaca, Flan, Weights and Biases, W&B, IDEFICS, Flamingo, LLaVA, BLIP, Falcon]
 
 Here are some examples: