MindsDB
vanna
MindsDB | vanna | |
---|---|---|
78 | 21 | |
21,312 | 6,822 | |
1.5% | 12.8% | |
10.0 | 9.6 | |
6 days ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MindsDB
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Whatβs the Difference Between Fine-tuning, Retraining, and RAG?
Check us out on GitHub.
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How to Forecast Air Temperatures with AI + IoT Sensor Data
If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.
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Fine-tuning a Mistral Language Model with Anyscale
MindsDB is an open-source AI platform for developers that connects AI/ML models with real-time data. It provides tools and automation to easily build and maintain personalized AI solutions.
- Vanna.ai: Chat with your SQL database
- FLaNK Weekly 08 Jan 2024
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MindsDB Docker Extension: Build ML powered apps at a much faster pace
MindsDB combines both AI and SQL functions in one; users can create, train, optimize, and deploy ML models without the need for external tools. Data analysts can create and visualize forecasts without having to navigate the complexities of ML pipelines.MindsDB is open-source and works with well-known databases like MySQL, Postgres, Redit, Snowflakes, etc.
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How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
Mindsdb is a good example. It abstracts everything related to an AI workflow as "virtual tables". For example, you can import OpenAI API as a "virtual table":
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ππ 23 issues to grow yourself as an exceptional open-source Python expert π§βπ» π₯
Repo : https://github.com/mindsdb/mindsdb
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AI-Powered Selection of Asset Management Companies using MindsDB and LlamaIndex
MindsDB is an AI Automation platform for building AI/ML powered features and applications. It works by connecting any data source with any AI/ML model or framework and automating how real-time data flows between them. MindsDB is integrated with LlamaIndex, which makes use of its data framework for connecting custom data sources to large language models. LlamaIndex data ingestion allows you to connect to data sources like PDFβs, webpages, etc., provides data indexing and a query interface that takes input prompts from your data and provides knowledge-augmented responses, thus making it easy to Q&A over documents and webpages.
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Using Large Language Models inside your database with MindsDB
Now, imagine if you can deploy these highly trained models in your database to get insights, make predictions, understand your users, auto-generate content, and more. MindsDB makes this possible! MindsDB is an open-source AI database middleware that allows you to supercharge your databases by integrating various machine learning (ML) engines.
vanna
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Database Education Needs Moderization
vanna-ai is a pretty cool project that combines AI with database knowledge. SQLAI seems to be a small German company which specializes in this area. I will start exploring these in my free time.
- Vanna
- FLaNK Stack Weekly 12 February 2024
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πͺΈ6 Text2SQL Tools to Write Stunning SQL for you βοΈ
Vanna is a Python framework that allows the training of an RAG model with queries, DDL, and documentation from a database.
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An open source DuckDB text to SQL LLM
Iβm trying to solve for this with my project and (at least based on what people say in Discord), itβs working really well for them:
https://github.com/vanna-ai/vanna
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Vanna.ai: Chat with your SQL database
This is a good idea. I think what you'd want to do is override the generate_sql function and store the question with the "related" metadata and the generated sql somewhere:
https://github.com/vanna-ai/vanna/blob/main/src/vanna/base/b...
We're going to be adding a generic logging function soon and fairly soon what you're talking about could just be a custom logger.
- Show HN: Python package for generating accurate SQL via LLMs using RAG
- Are there any open source projects that need contributors?
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Weekly Self-Promotional Mega Thread 11, 04.12.2023 - 11.12.2023
Website: https://vanna.ai
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Show HN: Dropbase β Build internal web apps with just Python
Oh man, I would love to compare notes.
I pivoted in the reverse direction from:
https://github.com/pycob/pyvibe
To
https://github.com/vanna-ai/vanna
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
divedb - This is the source repository for the DiveDB site
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
iot_devices - Minimal generic API and data model for an IOT device
postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
pls - `pls` is a prettier and powerful `ls(1)` for the pros.
CapRover - Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
cria - OpenAI compatible API for serving LLAMA-2 model
scikit-learn - scikit-learn: machine learning in Python
ansible-easy-vpn - An Ansible playbook that sets up a Wireguard server with ad blocking, DNS-over-HTTPS, and a WebUI with 2FA
lightwood - Lightwood is Legos for Machine Learning.
magentic - Seamlessly integrate LLMs as Python functions