llamaindex

Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.

A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)

ChatGPT API Usage using LangChain, LlamaIndex, Guardrails, AutoGPT and more

AI Engineering Specially Topics- Agentic AI & GenAI Explanation

Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min

Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.

From data to vector database effortlessly

大型語言模型(LLM)的讀書會內容code部分整理，此github提供簡單、免費、易實作code範例，並由淺入深帶你一步步了解如何基於python建置LLM流程、部屬功能等

The library for character-driven AI experiences.

PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-bench, #2 of 8 engines. 7-tool MCP server.

Examples and code snippets demonstrating common ways of integrating Neon with various frameworks and languages.

Javascript SDK for interacting with the MCP Toolbox for Databases.

BrainX 是一个智能系统，分析各种媒体格式，整合到知识库，并生成定制内容，包括机器人、洞察和媒体。它旨在为用户提供个性化和自动化的解决方案。

Ready-to-run examples showing NoPII PII protection with OpenAI, Anthropic, LangChain, LlamaIndex, and more

Agentic AI-driven Quantitative Alpha Builder. Streamline alpha generation with autonomous research navigation and backtesting.

Maximem Synap is the memory layer that makes AI agents remember. 92% LongMemEval, 93.2% on LOCOMO. Works natively with LangChain, LlamaIndex, CrewAI, Google ADK, AutoGen, OpenAI Agents, Semantic Kernel, Haystack, and Pydantic AI.

GenAI Experimentation

GPTStonks is a financial chatbot powered by LLMs and enhanced with data frameworks. It provides natural language conversation capabilities for financial topics, making it an ideal choice for a wide range of financial applications.

This project is a comprehensive recruitment and interview assistance system developed based on large models and agents, leveraging the langgraph and llamaindex agent frameworks. It aims to enhance job search efficiency and interview performance by automating and intelligentizing the entire interview process. it is China Software Cup A3 competition

Build document-native LLM applications