The platform for customizing AI from enterprise data
-
Updated
Jun 13, 2024 - Python
The platform for customizing AI from enterprise data
GPT-powered chat for documentation, chat with your documents
🔍 LLM 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.
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
💡 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.
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Top2Vec learns jointly embedded topic, document and word vectors.
Represent, send, store and search multimodal data
MTEB: Massive Text Embedding Benchmark
YouTube Full Text Search - Search all of a YouTube channel from the command line
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Efficient Retrieval Augmentation and Generation Framework
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.
Add a description, image, and links to the semantic-search topic page so that developers can more easily learn about it.
To associate your repository with the semantic-search topic, visit your repo's landing page and select "manage topics."