run-llama/llama_index
LlamaIndex is a leading data framework that enables building LLM-powered applications by providing tools for data ingestion, structuring, and advanced querying to augment large language models with private and external data.
Awesome AI Agents › Data Integration and Specialized Solutions
airweave-ai/airweave
Airweave is a project designed to transform any application into a semantically searchable MCP (Message Control Protocol) server for AI agents. It enables the connection of various data sources such as apps, databases, URLs, or APIs, making their data semantically searchable and easily retrievable by AI agents. The platform supports both structured and unstructured data, breaking it down into manageable entities that can be stored and accessed through REST and MCP endpoints. This functionality simplifies the process of making information accessible and usable for AI-driven applications. The project includes a React-based frontend UI that allows users to manage data sources, configure synchronization schedules, and monitor sync jobs. It also provides a FastAPI backend with endpoints for managing sources, connecting to data sources, and performing semantic searches. Users can configure their own vector databases either through the UI or via the API, enhancing flexibility and customization. Airweave supports a wide range of integrations with popular applications and services such as Asana, Calendly, ChatGPT, ClickUp, Confluence, Dropbox, Facebook, GitHub, Gmail, Google Calendar, Google Drive, HubSpot, Intercom, Jira, LinkedIn, Mailchimp, Monday.com, MySQL, Notion, OneDrive, Oracle, Outlook, Perplexity, PostgreSQL, Salesforce, Slack, SQL Server, SQLite, Stripe, Todoist, Trello, and WhatsApp, among others. This extensive integration capability allows users to connect and search data across multiple platforms seamlessly. The project is actively maintained with continuous integration workflows for code quality and testing, and it encourages community contributions. It provides comprehensive documentation and a demo video to help users get started quickly. Overall, Airweave is a powerful tool for enabling semantic search capabilities across diverse data sources, facilitating AI agent interactions and enhancing data accessibility in various applications.
https://github.com/airweave-ai/airweave
Also in Data Integration and Specialized Solutions
pingcap/tidb
TiDB is an open-source, cloud-native, distributed SQL database offering ACID guarantees, horizontal scalability, high availability, HTAP capabilities, and MySQL compatibility.
getzep/graphiti
Graphiti is a framework for building and querying real-time, temporally-aware knowledge graphs designed to support AI agents in dynamic environments with efficient incremental updates and hybrid retrieval methods.
dolthub/dolt
Dolt is a SQL database with Git-like features, enabling full version control over data, including branching, merging, and diffing of data.
vectordotdev/vector
Vector is a high-performance, end-to-end observability data pipeline designed to collect, transform, and route logs, metrics, and traces.
cube-js/cube
Cube Core is an open-source semantic layer that enables AI, business intelligence, and embedded analytics by providing a flexible, API-driven platform supporting multiple SQL data sources and real-time analytics.
llmware-ai/llmware
llmware is a unified framework for building enterprise Retrieval-Augmented Generation (RAG) pipelines using small, specialized language models integrated with secure knowledge sources for efficient AI applications.
cocoindex-io/cocoindex
CoCoIndex is an ultra-performant data transformation framework for AI, specializing in incremental processing for data indexing and real-time semantic search with Python and Rust.