incremental-indexing

A queryable second brain over your scattered notes and docs - hybrid retrieval (vector + BM25), section-level citations, and an MCP server so AI agents can use it. ~300 lines, no LangChain.

Find source context and trace calls across languages in Claude Code, Codex and other MCP agents.

AWS-native knowledge graph RAG framework unifying two graph-retrieval methodologies — Microsoft GraphRAG community summarization and LightRAG dual-level keyword search — on Amazon Bedrock, Neptune, and OpenSearch. Multi-hop QA over document corpora, with incremental indexing and multilingual support.

Production-grade Node.js RAG system with hybrid retrieval, pluggable adapters, and OpenTelemetry tracing

Steadlith reuses unchanged RAG chunks with content-defined identities, cache-aware planning, and transactional indexing.

Fast markdown RAG with multi-provider embeddings (Vertex AI, Gemini, OpenAI, Voyage), incremental indexing with mtime/size fast-path, stale vector pruning, Milvus vector store.

A blazing-fast Rust CLI for disk usage analysis, incremental filesystem indexing, historical snapshot comparison, and real-time storage monitoring.

Local-first code and docs search for coding agents: incremental indexing, exact line-cited results, no API keys or cloud.

A modular Python RAG system with FAISS, semantic search, metadata synchronization, and incremental indexing.

面向持续变化文档与代码工作区的增量索引与混合检索系统

Hybrid graph-augmented code intelligence engine for AI agents — understand symbols, trace execution, review changes, and keep the graph consistent after every edit.

面向 AI Agent 的知识状态一致性与增量同步系统：稳定身份、增量更新、失败恢复与并发控制。

Fast, fully-local code search & navigation for large codebases — cuts the tokens an AI coding agent spends finding code. Lexical + symbolic + semantic, memory-mapped, no GPU, no cloud.

A five-model knowledge graph over a directory you choose — built to prove itself wrong. SQLite + FTS5, stdlib-only, 100% local.

.NET document ingestion pipeline for RAG — tracks a folder of files in a git-backed vault, extracts and chunks them, and keeps a vector index in sync.