Search & Retrieval
patricktrainer/duckdb-embedding-search
Fast similarity search using DuckDB
PythonMITupdated Oct 30, 2024
🏆 #2,218 overall#232 of 388 in Search & Retrieval
nitaiaharoni1 /vector-storage
Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
$ git clone https://github.com/nitaiaharoni1/vector-storage.gitStars
248
248
Forks
40
40
Language
TypeScript
License
MIT
Created
May 2, 2023
3.4 years old
Last push
Aug 12, 2026
Categories
More in Search & Retrieval
Search & Retrieval
gmpetrov/databerry
The no-code platform for building custom LLM Agents
Otherno licenseupdated Jun 17, 2024
Search & Retrieval
Dicklesworthstone/swiss_army_llama
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
Pythonno licenseupdated Feb 27, 2025
Search & Retrieval
Mihaiii/semantic-autocomplete
A blazing-fast semantic search React component. Match by meaning, not just by letters. Search as you type without waiting (no debounce needed). Rank by cosine similarity.
🧠 Natural Language Processing
JavaScriptMITupdated Aug 31, 2024
Search & Retrieval
mallahyari/drqa
How to create Question-Answering system combining Langchain and OpenAI
❓ Question Answering
TypeScriptno licenseupdated Jun 8, 2023
Search & Retrieval
sinanuozdemir/oreilly-retrieval-augmented-gen-ai
See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
Jupyter Notebookno licenseupdated Feb 17, 2026
Data from GitHub · snapshot Sep 24, 2026