This repository hosts code samples for LangDB. All samples are written in SQL.
Use the LangDB kernel to run the notebook samples.
The repository is structured as follows:
getting_started/: This directory contains notebooks related to simple LLM pipelines using LangDB.rag/: This directory contains notebooks related to RAG concepts.
| Sample | Description |
|---|---|
| Using Providers | How to use LangDB with different providers |
| Embed and Query PDFs | Explains how to run RAG on PDF files |
| Sentiment Analysis - I | Create a sentiment model using LLMs |
| Sentiment Analysis - 2 | Create a batched sentiment model using LLMs |
| Structured Layout Extraction from PDFs and Images | Convert PDF documents into structured tables |
| Text-to-SQL | Model which can run SQL queries based on text |
| Working with Postgres, MySQL, MongoDB, and Others | How to use different database types |
| Sample | Description |
|---|---|
| Combine Structured Data w/ Unstructured Data using LangDB | Combine insights from both structured and unstructured data |
| Corrective RAG | Corrective RAG powered by LangDB |
| QA on PDF & RAG using LangDB | QA on PDF & RAG using LangDB |
We welcome contributions! Please see CONTRIBUTING.md for details on how to contribute.
This project is licensed under the terms of the MIT license. See LICENSE for more information.