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Running Docling as an API service
Using Docling to create an AI assistant out of any PDF book in minutes
5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
A proof-of-concept demonstrating a custom-built host implementing an OpenAI-compatible API with Google Vertex AI, function calling, and interaction with MCP servers.
用于提供给本地开发者的 LLM的高效互联网搜索&内容获取的MCP Server， 节省你的token
Model Context Protocol Servers
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
A blazingly fast JSON serializing & deserializing library
Examples and demonstrations for using the Eino framework
Various extensions for the Eino framework: https://github.com/cloudwego/eino
AI PDF chatbot agent built with LangChain & LangGraph
Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers t…
Implement RAG (using LangChain and PostgreSQL) for Go applications to improve the accuracy and relevance of LLM outputs
How to reduce complexity and move faster? Just Postgres for everything.
A curated list of awesome PostgreSQL software, libraries, tools and resources, inspired by awesome-mysql
All the open source AI Agents hosted on the oTTomator Live Agent Studio platform!
Get your documents ready for gen AI
A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
A time-series database for high-performance real-time analytics packaged as a Postgres extension
Open-source vector similarity search for Postgres
An implementation of pgvectorscale to a build powerful RAG solutions.
A complement to pgvector for high performance, cost efficient vector search on large workloads.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
the AI-native open-source embedding database
