gutfeeling/langsearch

Easily create semantic search based LLM applications

23
/ 100
Experimental

LangSearch helps you create a smart question-answering system using your own private or specialized data, even if it's spread across websites, documents, or multimedia files. It ingests diverse data sources and provides direct answers to user questions, making it easier for subject matter experts or data analysts to query specific knowledge bases. This is ideal for anyone needing to quickly extract information from large, complex, and varied collections of internal or domain-specific data.

No commits in the last 6 months.

Use this if you need to build a system that can accurately answer questions based on a wide range of your own documents, web pages, audio, or video files, without relying on publicly available information.

Not ideal if your primary need is to simply search keywords within documents or if you don't require AI-driven natural language answers from your data.

knowledge-management enterprise-search information-retrieval technical-documentation customer-support-automation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 10 / 25

How are scores calculated?

Stars

14

Forks

2

Language

Python

License

Last pushed

Jan 17, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/gutfeeling/langsearch"

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