local-first semantic code search engine
The open-source AI Operating System — run a workforce of AI agents on your own machine. Any model, 1,000+ tools, a Knowledge Graph, and your own Claude Code as agents. Self-host with docker compose.
Semantic QA with a markdown database: Query any markdown file using vector embedding, Pinecone vector database and GPT (langchain). A weaker version of privateGPT
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.
Semantic Art Search – Explore art through meaning-driven search
Django AI Core provides developer-focused AI features for implementing AI tooling in to Django sites.
Python script demonstrating the process of recovering text from embeddings, highlighting the associated privacy risks and mitigation strategies in dense retrieval systems.
V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin
A Django AI library for generating personalized content recommendation feeds based on pgvector.
A tool for performing semantic search within pdf documents leveraging sentence transformers.
Flask API for generating text embeddings using OpenAI or sentence_transformers
Match celebrity users with their respective tweets by making use of Semantic Textual Similarity on over 900+ celebrity users' 2.5 million+ crawled tweets utilizing SBERT, streamlit, tweepy and FastAPI
The SEO Content Analyzer is a sophisticated Python script designed to perform in-depth semantic analysis of content for SEO purposes.
Learning semantic embeddings from OSM data: A Pytorch implementation of the loc2vec general method outlined in: https://sentiance.com/loc2vec-learning-location-embeddings-w-triplet-loss-networks.
MCP server combining Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence with agentic RAG capabilities. FastMCP 2.0 architecture with enterprise security, monitoring, and Kubernetes deployment. AI/ML engineering powerhouse.
RAG app using Chroma, Langchain and OpenAI.
Python library providing core ML and data infrastructure for on-device AI applications.
Python Client SDK for CyborgDB: The Encrypted Vector Database
Experimental embedding research on semantic attention, Fourier token mixing, and branch-disagreement diagnostics.
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