The platform for customizing AI from enterprise data
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Updated
May 29, 2024 - Python
The platform for customizing AI from enterprise data
Elevate user interactions with ChatFAQ: your open-source chatbot solution, offering the full spectrum of ChatGPT capabilities. AI + LLM + CMS
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.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
🔮 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.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
MTEB: Massive Text Embedding Benchmark
Text Embedding, Retrieval, Rerank and RAG
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
🔍 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.
Serverless multilingual semantic search based on LanceDB
A curated list of Generative AI tools, works, models, and references
Hybrid search engine, combining best features of text and semantic search worlds
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Semantic embedding-based question-answering system that processes PDFs to generate embeddings for sentences, enabling semantic search and question answering using these embeddings.
Evaluating state-of-the-art embedding models with domain-specific instructions to improve semantic representation and enhance explainability in semantic search.
Semantic Search on Movies with Chroma DB in JavaScript
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
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