thinktecture-labs/semantic-kernel-semanticsearch

Example how to implement a question & answer flow using semantic search with OpenAI - by using C# & Semantic Kernel

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Experimental

This tool helps you quickly get answers from your own specific documents, web pages, or other text sources, even across different languages. You provide a list of URLs or text, and it processes them to create a searchable knowledge base. When you ask a question, it instantly provides an answer based only on your supplied content. This is for anyone who needs to build a custom Q&A system for a defined set of information.

No commits in the last 6 months.

Use this if you need to build a specialized question-answering system using your own set of documents, like internal company FAQs, product documentation, or specific web pages.

Not ideal if you need a production-ready system with robust vector database capabilities, advanced user management, or complex data ingestion pipelines beyond simple URLs.

knowledge-base technical-support documentation-search information-retrieval custom-Q&A
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 12 / 25

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Stars

28

Forks

4

Language

C#

License

Last pushed

May 06, 2024

Commits (30d)

0

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