navneetkrc/langchain_colab_experiments

Experiments with Langchain using different approaches on Google colab

40
/ 100
Emerging

This helps people who want to automatically create a comprehensive set of questions and answers from support documents. You provide your existing support articles or technical documentation, and it outputs a list of questions and their corresponding answers, along with an evaluation of how good those answers are. This is ideal for customer support managers, technical writers, or product owners looking to enhance their knowledge base or train AI assistants.

No commits in the last 6 months.

Use this if you need to quickly generate high-quality question-and-answer pairs directly from your written support materials and want to understand the quality of those generated answers.

Not ideal if you're looking for a tool to manually write or edit questions and answers, or if your source documents are not text-based.

customer-support technical-writing knowledge-base-management AI-training-data content-audit
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

25

Forks

8

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 29, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/navneetkrc/langchain_colab_experiments"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.