RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
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Updated
Jul 3, 2024 - C#
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
SQL Server connector for Semantic Kernel plugin and Kernel Memory
Example how to implement a question & answer flow using semantic search with OpenAI - by using C# & Semantic Kernel
Semantic File Inspector ‒ RDF-based metadata extraction and semantic search
Semantic search web app using the Large Language Model (LLM) Cohere for embeddings to match context and meaning, rather than keywords.
Integrate semantic similarity search (powered by .NET Smart Components) in the DevExpress Winforms Data Grid control.
Using Semantic Kernel to obtain answer from a PDF document, with embeddings stored in Redis and HuggingFace to create embeddings.
Drahten is an open-source project utilizing a microservices architecture written in .NET Core 8.0.
ElasticEmbeddings is a simple application, which exposes an API for semantic search. The semantic search is done with OpenAI embeddings and Elasticsearch.
Natural language search experiment using Semantic Kernel.
Add a description, image, and links to the semantic-search topic page so that developers can more easily learn about it.
To associate your repository with the semantic-search topic, visit your repo's landing page and select "manage topics."