This is a simple example of how to use the Ollama RAG (retrieval augmented generation) using Ollama embeddings with nodejs, typescript, docker and chromadb
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Updated
Oct 6, 2024 - TypeScript
This is a simple example of how to use the Ollama RAG (retrieval augmented generation) using Ollama embeddings with nodejs, typescript, docker and chromadb
LLM Based Legacy Code Migration Engine
Implementing LangChain concepts and building meaningful stuffs
OmniResearch is a centralized research, curation, and document analysis platform powered by Artificial Intelligence (Agentic RAG). Designed specifically to streamline research workflows, it eliminates the fragmentation of traditional tools by combining web exploration and knowledge extraction within a single, secure environment.
The RAG, CAG and KAG pipelines implementation
LlamaIndex&LangChine wiht LLM
Rust with AI - Use Cases Repo
A powerful web-based application designed to answer questions based on the content of uploaded PDF documents. This project leverages a Hybrid Retrieval-Augmented Generation (RAG) approach, combining the strengths of vector-based semantic search and keyword-based search to deliver accurate and relevant responses
Example implementation of VectorMap-Index for laptop recommendation using KD-Tree + local hash + Ollama embeddings.
A simple desktop GUI app to a upload file, preview data and create a summary
Detailed description given in the README
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