Sentence Transformers API: An OpenAI compatible embedding API server
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Updated
May 10, 2024 - HTML
Sentence Transformers API: An OpenAI compatible embedding API server
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
LlamaIndex is a data framework for your LLM applications
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
A cloud-native vector database, storage for next generation AI applications
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Website for the Weaviate vector database
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Data Infrastructure for Multimodal AI: Data, models, and orchestration in a unified declarative interface.
Practical course about Large Language Models.
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.
This is an out-of-the-box conversational search tool that leverages the vector storage capabilities of TiDB Serverless. It provides a seamless way to embed a powerful question-answering (QA) bot directly on your website, requiring only a simple copy-and-paste of a JavaScript snippet. Demo: https://tidb.ai
Cloud-native vector similarity search and storage with efficient, serverless scale-out
Java version of LangChain
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
This project is a chatbot application that utilizes Langchain and Ollama libraries to manage and process user queries using a large language model (LLM).
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