Agent Fusion is a local semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task orchestration. Deploy with a single JAR

Semantic search web app using the Large Language Model (LLM) Cohere for embeddings to match context and meaning, rather than keywords.

A semantic search application built using FastAPI, Pinecone, and Sentence Transformers to match questions from Quora dataset.

An open-source platform democratizing Generative AI Applications. Build and deploy AI-powered tools without extensive expertise. Features flexible data integration, semantic search, and LLM integration. Create sophisticated AI applications using your private knowledge bases.

🤖 That's a simple LLM semantic search that implements RAG concepts with help of LangChain and OpenAI API.

Get your Error Solution by just Pasting Error.

The goal of this project is to build a small Discord Bot that search messages in discord channels. It does semantic search along simple word search. It is compatible with multiple LLM Semantic Models, like Bert or e5 for instance.

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)

Language of Vectors (LangVec) is a simple Python library designed for transforming numerical vector data into a language-like structure using a predefined set of words (lexicon).

AI-Spaces integrates React, Redux Toolkit, and FastAPI to build an advanced platform for interacting with AI models. Users can input questions or upload documents to receive precise, AI-driven summaries, creating a seamless and intuitive experience for modern web applications.