This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

Java version of LangChain

The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

Bringing Generative AI to the way the Civil Service works

A blazing fast inference solution for text embeddings models

Distributed vector search for AI-native applications

the AI-native open-source embedding database

A compute framework for turning complex data into vectors. Build multimodal vectors with ease and define weights at query time so you don't need a custom reranking algorithm to optimise results. Go straight from notebook to production with the same SDK.

The memory layer for Personalized AI

Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践，以及优雅且便捷地访问千帆大模型平台）

Build, evaluate and observe LLM apps

Demo project demonstrating how to use Pinecone vector database with OpenAI embeddings in Scala

Scala client for Pinecone vector database

Seed project demonstrating how to use Pinecone Scala client

AI-powered semantic search engine for emojis

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/

Convert LaBSE model from TF Hub to PyTorch.

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..