local-first semantic code search engine
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Updated
Feb 24, 2026 - Python
local-first semantic code search engine
Memory layer for on-device AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer.
SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
Search images and videos offline using text or by reverse image search with on-device AI.
Browser-local AI code Q&A engine. Chat with your codebase, ensure privacy, and optimize LLM collaboration.
An in-memory vector search library in C++ with Python bindings
Next-token prediction in JavaScript -- build fast language and diffusion models.
Memory for AI that works like yours--local, instant, persistent. 13x faster than Pinecone, 5x leaner than RAG. Finds what RAG misses. Zero cloud, zero cost.
Browse the top 10,000 packages on PyPI with the help of vector embeddings
YouTubeGPT * AI Chat with 100+ videos ft. YouTuber Marques Brownlee (@ MKBHD)
AI chat over the US Constitution
a vector embedding database with multiple storage engines and AI embedding integrations
YouTubeGPT * AI Chat with 100+ videos ft. YouTuber Matt Wolfe (@mreflow)
Semantic QA with a markdown database: Query any markdown file using vector embedding, Pinecone vector database and GPT (langchain). A weaker version of privateGPT
UC Berkeley CS186 AI Chatbot
AI pipeline built with the honc and workers-ai. vector embeddings, web scraping and processing with Cloudflare Workflows (beta)
rudradb-opin-examples is for example implementations of the pip install rudradb-opin
AI Chat with The BTCitcoin Whitepaper
DImensionality REduction in JAX
Python scripts that converts PDF files to text, splits them into chunks, and stores their vector representations using GPT4All embeddings in a Chroma DB. It also provides a script to query the Chroma DB for similarity search based on user input.
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