Document Query Engine

The Unblocked Context Engine Workshop is a hands-on repository-based learning resource that walks through six stacked pull requests for turning a stubbed query playground into a relational context engine over a GitHub repository. It demonstrates schema discovery by sampling documents and merging their structures, identity resolution through fuzzy matching, query planning with schema and date context, and deny-by-default validation with an allowlist of operators and reinjected tenant metadata. A retry loop returns validation and execution errors to the model and exposes the need for full-text search when exact matching fails; the resulting engine also powers a chat agent. The workshop covers retrieval over structured engineering context such as pull requests, review comments, tickets, wikis, and chat, along with schema scaling, continuous ingestion, MCP, and hybrid search.

Unblocked is a context engine for agentic software development. It gives coding agents permissions-aware context from source code, pull requests, conversations, documentation, issues, and production or incident history, helping them use the reasons behind code changes rather than code search alone. Its open-source document query engine uses automatic schema discovery, identity resolution across systems, plain-language-to-database query generation, validation that blocks dangerous operators, error-fed retries, and full-text search. The project also includes a context-engine simulator for testing whether pre-gathered context improves agent tasks. In the demonstrations, attaching Unblocked context to Claude sessions reduced token cost by about half and helped trace a regression to a model switch before creating a fix pull request.

QueryAPIGate is a self-hosted service that turns saved SQL queries into versioned, governed REST endpoints. It connects to databases including PostgreSQL, MySQL, ClickHouse, SQLite, DuckDB, H2, MongoDB and generic JDBC sources, and can query Parquet, CSV and JSON files through DuckDB. Its built-in console provides SQL editing, schema browsing, query testing and API publication. Each saved query becomes a versioned endpoint with typed, injection-safe parameters, field-level validation, pagination, streaming exports and response formats including JSON, NDJSON, XML, YAML, CSV, TSV, Excel and Parquet. The service includes API-key authentication, scoped permissions, roles, collections, rate limits, IP restrictions, optional JWT-based sign-in, SQL-guarded execution, connection pooling, caching, run history, audit logs, OpenAPI output, Prometheus metrics, live SSE events and an administrative UI. It can also expose saved queries as MCP tools for AI agents. QueryAPIGate is distributed as a Python package and Docker images. The repository describes it as source-available under the Functional Source License 1.1 with the MIT Future License; it is not currently an OSI-approved open-source license, and versions become MIT-licensed two years after release.

QMD is an on-device command-line search engine for Markdown notes, meeting transcripts, documentation, knowledge bases, and other organized information. It combines BM25 full-text search, vector semantic search, and LLM reranking locally through node-llama-cpp and GGUF models. Its hybrid query pipeline expands the original query into lexical, vector, and HyDE variants, routes them to keyword or vector search, combines the results with Reciprocal Rank Fusion, and applies an LLM reranker to produce final ranked results. Collections can be indexed and enriched with hierarchical context; documents can be retrieved individually or in batches, and JSON and file-oriented output formats support agent workflows. QMD also exposes query, retrieval, batch retrieval, and index-status operations through an MCP server.

DocuVault is a self-hosted team documentation and wiki application that stores Markdown files in a Git repository, with every browser save recorded as a Git commit. It provides a TipTap-based WYSIWYG editor, repository cloning for local editing, search, version history, role- and team-based permissions, fine-grained space access, and public share links with optional passwords and commenting. Its optional AI features include semantic search and question answering over documentation with source links, while its built-in MCP server lets authorized AI agents search, read, create, edit, share documents, manage tasks, and transfer files according to the user's permissions. It can synchronize spaces with GitLab or use a local Git repository; GitHub synchronization is listed as planned. The application is distributed for self-hosting with Docker images for amd64 and arm64, and uses PostgreSQL with pgvector, MinIO, Redis, and a reverse proxy in its documented deployment stack. DocuVault is in early access and is source-available under the Business Source License 1.1 rather than an OSI-approved open-source license. It is free to use and modify for self-hosting, while offering it as a competing hosted service requires a separate agreement; each version converts to Apache 2.0 after four years.