The platform for building AI from enterprise data

🔍 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow

Your AI second brain. Open and self-hostable. Get answers from the internet or your docs. Use any online or local LLM (e.g gpt, claude, gemini, llama, qwen, mistral). Access from web, obsidian, emacs, desktop. Build agents. Create automations

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

Represent, send, store and search multimodal data

Top2Vec learns jointly embedded topic, document and word vectors.

Multi-tool for semantic search

YouTube Full Text Search - Search all of a YouTube channel from the command line

Efficient Retrieval Augmentation and Generation Framework

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

Transform audio-visual content into navigable knowledge.

The prime repository for state-of-the-art Multilingual Question Answering research and development.

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Framework for enhancing LLMs for RAG tasks using fine-tuning.