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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Oct 6, 2024 - TypeScript
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ollama-embeddings
Here are 8 public repositories matching this topic...
Implementing LangChain concepts and building meaningful stuffs
openai flask-api assistant-chat-bots pinecone rag groq vector-database langchain langchain-python react-agents ollama langsmith openai-embeddings langchain-hub faiss-vector-database langchain-tools tavily llama3 ollama-embeddings firecrawl
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Mar 26, 2025 - Python
LLM Based Legacy Code Migration Engine
c docker docker-compose neo4j-database ast knowledge-graph vectorization python-oop c-parser groq-api ollama-embeddings ollama-model legacy-code-analysis legacy-code-migration legacy-c-to-python-oop
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Aug 26, 2025 - Python
LlamaIndex&LangChine wiht LLM
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Oct 12, 2024 - Python
A simple desktop GUI app to a upload file, preview data and create a summary
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Dec 29, 2025 - Python
Detailed description given in the README
rag pypdf2-library langchain retrieval-augmented-generation mixtral-8x7b faiss-vector-database groq-ai llama3 ollama-embeddings
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May 19, 2024 - Python
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
chroma bm25 pypdf rag streamlit langchain chromadb ollama rag-chatbot langchain-ollama ollama-embeddings hybrid-rag qwen2-5 ensemble-retriever
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Jul 26, 2025 - Python
Example implementation of VectorMap-Index for laptop recommendation using KD-Tree + local hash + Ollama embeddings.
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Jul 2, 2025 - JavaScript
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