Discover LlamaIndex: Joint Text to SQL and Semantic Search

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In this tutorial, we show users how to make use of a feature within LlamaIndex that allows them to join the results from a SQL database with that of a vector database, with the help of LLMs.

This combines two stacks: text-to-SQL for structured data as well as semantic search for unstructured data (both of which LlamaIndex has).
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What if the information is distributed in multiple tables within the SQL database? Would LlamaIndex be able to join the relevant tables without the user explicitly citing them? This question is essential, especially if the tables are not labeled more intuitively e.g. a table having cities labelled/named as Lctin!

oaga
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hi~could u share more about the selector realization? whether i can use the llm itself to realize?

zeppelin
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Thank you very much, very nice work. Could you please share your notebook? Thanks again.

deeplearning
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why we use pinecone exactly? i know with llama_index there is alresdy some VectorStorrIndex etc is it because pinecone does it better? i dont understand that part

renaudgg
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Instead of using open AI..Can we do this using Llama or mistral model?

vishnuajoshy
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And ollama2 is posible language natural to sql ?

garyjo
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Can we implement the same thing in Langchain?

MrSawaiz
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Is there any JS version of this? At least for the structure ones, cz I think it’d still be better if the unstructred ones can just use python

elruinnou
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So it's basically some sort of an Agent

FoxnewsFan
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Can something similar be done with SparQL instead of SQL?

cutddub
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How can i use it whithout OPEN API KEY - i dont want to use Open AI and want to use open source llm

dotagammingfun
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Hi what if I dont have ustructured data and instead of a vector store, I just want to query the llm itself or the general internet. Plus how to implement chat functionality where by I can ask follow up questions based on previous answers?

kelvinadungosi
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Hi, what if the SQL database has 10 million records, this code still working?

ohmatokita
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You stated that the Jupiter Notebook was linked in the description. I don’t see it. 🫨

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