semantic-search-algorithm

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

Haly AI Slack Bot. A GPT powered chatbot that can answer questions about your organization using semantic search.

SLS : Neural Information Retrieval(IR)-based Semantic Search model

A detailed comparison between 3 different techniques (TF-IDF, Doc2Vec, and Sentence Transformers) for performing semantic search on a huge dataset

A prototype legal text search engine that uses a semantic search algorithm in order to find related keywords and sort the results by relevance.

An AI-powered research assistant that can understand documents, retrieve relevant context, and answer questions using Retrieval-Augmented Generation (RAG).

A semantic search system for Wikipedia articles using Weaviate and Cohere. It indexes articles with custom embeddings and provides a query interface to retrieve the most relevant matches. The system demonstrates the power of vector-based search for natural language queries.

Production-resilient TypeScript engine for PDF text chunking, Gemini vector embeddings, and ChromaDB HNSW semantic search.

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)

personal 3D bookmark manager that analyzes saved content using NLP/ML, projects them in a 3D space based on semantic similarity using UMAP, featuring hybrid search and advanced analytics.

Semantic observability for LLM agent memory. Catches what your agent forgot, fabricated, or contradicted, across every call. Four metrics: retention, hallucination, contradiction, and kind classification. Works on any domain.

An implementation of LSA, LDA and BERT for performing semantic search on MS MARCO Dataset