Skip to content
#

query-embedding

Star

Here are 3 public repositories matching this topic...

Ahmed-Maher77 / Mini-RAG-Pipeline

Star 0

A minimal Retrieval-Augmented Generation (RAG) pipeline built with LangChain, Qdrant, and HuggingFace embeddings. Ingest PDF documents into a vector store and query them using an LLM with grounded, context-aware responses.

python knowledge-base data-retrieval data-indexing rag ingestion-pipeline llm ai-workflows langchain query-embedding qdrant-vector-database prompt-template ollama-chat retrieved-augmented-generation rag-pipeline huggingface-embeddings document-loader context-engineering uv-package-manager chatmodel-interface
  • Updated Sep 2, 2026
  • Python
ai-learning-lab

sumeetgedam / ai-learning-lab

Star 0

Progressive AI Engineering journey covering Classical ML, Embeddings, emantic search, RAG, Tool Calling Agents, Production Retrieval systems and AI Evaluation through hands-on projects built from first principles.

prediction classification logistic-regression feature-engineering vector-space semantic-search cosine-similarity-scores gemini-api rag sms-spam-classification llm top-k-sampling query-embedding vector-store rag-pipeline gemini-flash llm-integration prompt-context retrieval-augmented-generation-rag
  • Updated Aug 17, 2026
  • Python

Add this topic to your repo

To associate your repository with the query-embedding topic, visit your repo's landing page and select "manage topics."

Learn more