The search engine that powers the project EPACS (Effective Parliament Archive Connect System).

Ezra 聖經語意搜尋 - Semantic Search Engine for Chinese Bible

Memsplora - An in-memory SPLADE (SParse Lexical AnD Expansion) content server with FAISS integration

A hybrid document search engine combining BERT embeddings and TF-IDF for intelligent semantic retrieval and ranking of documents.

A semantic search engine prototype, made with SentenceBERT, ontological definitions, and full-text search.

Our next-gen search engine goes beyond keyword matching, leveraging LLMs (Large Language Models) to understand intent and find the perfect product—even if users don’t describe it exactly! 🔥

The basis for the BIOfid semantic search

A CLIP-powered Semantic Search Engine using Pinecone, FiftyOne, and Streamlit.

Applied Word Vectorization Technique to Semantic (Web) Video Search Engine

Building a Custom Vector Search Engine with Weaviate : The project discusses the architecture of Weaviate, an open-source vector database and provides a tutorial implementation of a custom vector search engine using Weaviate Cloud Service(WCS).

The code I produced in my research internship in Summer 2022. I created a search interface in streamlit to query ArXiv articles using semantic embeddings. This involved a lot of background learning and was my first experience with sentence embeddings, transformers, and machine learning.

Contextual Memory Intelligence for AI Systems - Persistent memory, cognitive tools, and adaptive reasoning capabilities for LLMs Experimental memory system for LLMs (see MemMimic for optimized version)

AI-powered SEC filing analysis using RAG. Reduces 4-hour document analysis to 3 seconds with 90%+ accuracy. Built with Python, FastAPI, PostgreSQL, and Gemini AI.

Repositório destinado ao Trabalho de Conclusão de Curso

Flask app to perform image search using semantic matching of input text and images

Semantic Video Search Engine

Examples of how to use IP Street's semantic search to perform prior art search and find relevant documents

Build a search engine using FAISS (Facebook AI Similarity Search) that can help us find the most related book to our quotes or queries, both in English and Italian books

Semantic web oracle.

PHP Marmotta Client