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LlamaIndex is the leading framework for building LLM-powered agents over your data.

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

The Memory layer for AI Agents

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. ?Docker-friendly.?Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

? 实时 零代码、全功能、强安全 ORM 库 ? 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构 ? Real-Time coding-free, powerful and secure ORM ? providing APIs and Docs without coding by Backend, and the returned JSON of API can be customized by Frontend(Client) users

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Java version of LangChain

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai