Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
LlamaIndex is the document processing platform for AI
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Open Source AI Platform - AI Chat with advanced features that works with every LLM
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
100+ Chinese Word Vectors 上百种预训练中文词向量
- chinese
- chinese-word-segmentation
- embeddings
- word-embeddings
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Superduper: End-to-end framework for building custom AI applications and agents.
A code repository indexing tool to supercharge your LLM experience.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.
- ai-agents
- document-processing
- dspy
- entity-extraction
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.