关键词 "Vector indexes" 的搜索结果, 共 24 条, 只显示前 480 条
Platform to train and deploy embedding models for AI applications.
Harness AI power for custom business processes with VectorShift's generative AI platform.
Convert images to SVG files easily and for free.
Free tool to compare vector databases.
High-quality open-source vector icons.
BeFunky is an online platform for editing photos, creating collages, and designing graphics.
Generative AI design tool for creating digital illustrations, vector art, icons, and 3D graphics in a uniform brand style.
AI artboard for creating vector art, icons, and 3D images
Convert PNG, JPG to SVG vectors online
Stock images, photos, vectors, video, and music.
流程编排:内置工作流引擎支持 RAG 流程自动化,结合 LangChain 实现企业级任务分解。 架构模式:企业知识管理导向,基于 Python/Django 后端,支持 PostgreSQL + pgvector 混合检索,模块化设计便于集成。 部署:支持私有化部署与 API 开放对接,适配企业级权限管理。
🧩 Demo: Build AI-powered MCP Tools for GitHub Copilot using Azure Functions, OpenAI, AI Agents & Cosmos DB. Manages code snippets w/ vector search.
Spring ai, mcp server, aws bedrock, pg vectore store. mcp using sync SSE transport.
A lightweight MCP server that indexes and searches Markdown files in a specified directory, providing full-text search and file retrieval via the Model Context Protocol.
A code repository indexing tool to supercharge your LLM experience.
LanceDB MCP Server nodejs
A service that monitors an Obsidian vault for file changes (new, modified, or deleted Markdown files) and indexes each note’s metadata and content into an SQLite database, exposing it for e.g. an MCP-
🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and databas
Official Vectorize MCP Server
A MCP server connecting to managed indexes on LlamaCloud
A lightweight MCP server that loads PDF files, extracts and chunks their text, builds a semantic vector index, and returns relevant passages to Claude or other AI agents for document-based question an
A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector
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