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πŸ€– Chat with your SQL database πŸ“Š. Accurate Text-to-SQL Generation via LLMs using RAG πŸ”„.

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I am running into token limits, is it possible to limit the number of question-answer pairs that are being retrieved when running the function _get_similar_question_sql_ ? I see chromadb has...

Snowflake now has vector storage and search. https://medium.com/@thechosentom/rag-made-simple-with-snowflake-cortex-74d1df5143fd

Hello, I'm running vanna-ai on microsoft windows 11 enterprise 10.0.22631 build 22631 with python 3.10.7. Basically i've found that when running `vanna.ask(visualize = True)` it hangs at the following line...

**Is your feature request related to a problem? Please describe. ** The problem is that in order to enter the description for the table and columns it needed to be...

1. Improved Ollama a. Added Ollama Python client b. Fixed function for SQL extraction c. Improved extraction in case of Mistral with squared bracket d. Improved extraction making it case...

https://github.com/vanna-ai/vanna/blob/f2cec1fd9270a8bf96e31e9218137e918c44723c/src/vanna/qdrant/qdrant.py#L82 This line should be: ```python question_answer = "Question: {0}\n\nSQL: {1}".format(question, sql) ```

https://github.com/opensearch-project/OpenSearch The OpenSearch vector database is very good in use and performance, and its maturity is also high. I hope it can be scheduled to be supported. Best regards.

Please upgrade the log printing in the project to the logging solution to facilitate troubleshooting and log collection. logger = logging.getLogger(__name__) logger.debug(msg) logger.info(msg) logger.error(msg)

Hi, I'm writing a new class like [this](https://github.com/vanna-ai/vanna/blob/main/src/vanna/ollama/ollama.py) for models in the AutoModelForCausalLM format. Originally I've been testing sql-coder model with this but thought this could be generalized as a...

**Describe the bug** With the use of qdrant vector database we are getting the attributes error as below" **To Reproduce** Steps to reproduce the behavior: Pasting jupyter code : ```...

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