DB-GPT-Hub
HeimdaLLM
| DB-GPT-Hub | HeimdaLLM | |
|---|---|---|
| 1 | 4 | |
| 1,044 | 95 | |
| 9.1% | - | |
| 9.3 | 8.8 | |
| 24 days ago | 3 months ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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DB-GPT-Hub
HeimdaLLM
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Ben Forta – How to Generate SQL Statements with ChatGPT
This is solvable by augmenting the database schema with comments.
When you integrate your database with an LLM, you'll notice the LLM will produce flawed queries based on wrinkles in your database schema. This is because the LLM relies on conventional understanding of how the schema is probably tied together. When you see the flawed queries, you augment the schema with a comment that explains why the schema has a wrinkle. The LLM takes that into consideration and the resulting queries are improved.
A concrete example[1]: I found that when querying the Sakila movie rental database, the generated query would frequently attempt to join the `rental` table to the `film` table through a nonexistent `film_id` column on the rental table. By adding the linked comment, the LLM stopped doing that.
1. https://github.com/amoffat/HeimdaLLM/blob/dev/notebooks/saki...
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My small, no name company has lost its mind with AI
I think we're just scratching the surface of apps. As we figure out how to integrate this technology in novel ways (not just "here's my app + AI!!!!"), it will open new doors.
Shameless self-promotion, I'm trying to build some of those intermediary pieces. I have authored an open source library[1] that lets businesses externalize LLMs to their users, so that users can use natural language to query their data in your database. The goal is to try to simplify UIs to have more natural language components, without needing to send your data to an LLM.
1. https://github.com/amoffat/HeimdaLLM
- Show HN: HeimdaLLM
What are some alternatives?
Awesome-Text2SQL - Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
embedchain - Personalizing LLM Responses
llm-toys - Small(7B and below) finetuned LLMs for a diverse set of useful tasks
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
khoj - Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
INSIGHT - INSIGHT is an autonomous AI that can do medical research!
OpenDAN-Personal-AI-OS - OpenDAN is an open source Personal AI OS , which consolidates various AI modules in one place for your personal use.
zillion - Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
autogpt4all - 🛠️ User-friendly bash script for setting up and configuring your LocalAI server with the GPT4All for free! 💸
nanoChatGPT - nanogpt turned into a chat model