bm25-search

XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.

Local-first persistent brain for AI coding agents - SQLite knowledge graph + replayable trajectories, queryable over MCP.

A deterministic Windows AI agent that doesn't hallucinate actions. Features native UI Automation (no blind clicks), file rollbacks, and strict HITL security.

A Knowledge Graph-Infused RAG framework for multi-hop reasoning over Türkiye-related entities. It utilizes Neo4j for graph storage, Wikidata5M for structured data, and Ollama (Qwen 2.5) for agentic spreading activation to outperform traditional text-based RAG baselines.

Cross-tool memory for AI agents. Stitch context across Cursor, Claude Code, Codex, Gemini CLI, Windsurf, Copilot, and 9+ AI tools. Preserves decisions, failed experiments & warnings across sessions. Zero dependencies, MCP + instruction files, BM25 relevance search. Never re-explain your work.

Enable AI agents to share memory across tools and avoid repeating work when switching between tasks or platforms.

Local-first knowledge retrieval engine for AI agents — BM25, semantic search, reranking, MCP, Pi Agent and DeepSeek Harness integration.

A hybrid search system for financial intelligence combining BM25, dense, and sparse vectors with Qdrant to improve retrieval across both exact keyword and semantic queries.

A learning-focused Agentic RAG system built to explore LangGraph orchestration, hybrid retrieval, semantic caching, and RAG evaluation using local LLMs.

Intelligent Candidate Ranking Pipeline. Deterministic, fully local candidate ranking pipeline for 100K profiles. No LLMs, no GPUs, no network calls during ranking. (Pre-computes offline text embedding models for reranker)

Read-only MCP server for 1C BSL: hybrid BM25 + vector search over procedures & functions in Elasticsearch, dedup + rerank — feeds relevant context to code LLMs. | Только чтение: MCP-сервер для BSL (1С) — гибридный BM25 + векторный поиск по процедурам и функциям в Elasticsearch, дедупликация и rerank. Релевантный контекст для code-моделей.

MCP server implementing Recursive Language Model pattern for processing arbitrarily long contexts. Enables Claude Code to work with 1M+ character documents through session-based chunking, BM25 search, and artifact provenance tracking.

A privacy-first, self-hostable web search engine built from scratch in TypeScript — own crawler, own BM25 inverted index, zero cookies/tracking, and live hybrid fallback (Google Suggest + DuckDuckGo) when local results are thin.

An Okapi BM25 implementation in pure Erlang

Production-oriented Adaptive Agentic RAG with hybrid retrieval, reranking, evidence-aware recovery, grounded generation, semantic safety verification, FastAPI, CI, and visual demo.

RAG Experimentation

FastAPI-based Hybrid RAG System (dense + sparse retrieval, cross-encoder reranking, grounded generation with LLM-verified citations, composite confidence scoring) with a vanilla HTML/CSS/JS frontend served from the same Docker container

Retrieval over chemistry papers keyed on structure, not on the name someone happened to type. Names resolve to InChIKey skeletons at ingest.

Local first semantic and hybrid BM25 grep / search tool for use by AI and humans! Ported from rust to python to use MLX for local inference on Apple silicon.