curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
Star & Fork Trend (31 data points)
Multi-Source Signals
Growth Velocity
curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Get-Things-Done-with-Prompt-Engineering-and-LangChain | SincNet | Generalization-Causality | VieNeu-TTS |
|---|---|---|---|---|
| Stars | 1.2k | 1.2k | 1.2k | 1.2k |
| Forks | 375 | 270 | 103 | 383 |
| Weekly Growth | +0 | +0 | +0 | +5 |
| Language | Jupyter Notebook | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | Apache-2.0 |
Capability Radar vs SincNet
Last code push 822 days ago.
Fork-to-star ratio: 30.3%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.