Search

An open-source engine that turns continuous content streams into search and monitoring. Durable ingestion, hybrid search, alerts, and plugins for formats, models and business rules.

Open Source Cloud Native Ingestion engine

Sentry event forwarding and ingestion service.

Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

Data ingestion service for the Agent Landing Zone. Processes PDFs, images, spreadsheets, transcripts and SharePoint content into grounding knowledge for agents, with smart chunking and multimodal embeddings.

Diode data model and ingestion services for NetBox, from NetBox Labs

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

GlassFlow: Open source data ingestion and transformations for ClickHouse pipelines

Unified test intelligence platform with multi-format ingestion, real-time analytics, and AI-powered insights via LLM integration

Open, SQL-native time-series database for telemetry you need to keep. 38M+ records/sec ingestion, 25M+ rows/sec queries. InfluxDB Line Protocol and Telegraf compatible. Open Parquet on your storage. Single binary. S3/Azure native. Air-gap ready. AGPL-3.0.

A minimalist, self-hosted AI bot for automated billing ingestion and FIRE financial planning.

Production-oriented Spring AI platform prototype for RAG, tool calling, async ingestion, JWT/RBAC, and observability.

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.

Healthy Diet AI Agent is a Bun + TypeScript backend for nutrition chat, food-image analysis, RAG document ingestion, and knowledge-grounded diet guidance.

Claude Code / Codex CLI plugin for generating reviewable HTML documents with preview, inline review comments, and agent feedback ingestion.

Python toolkit for PowerPoint ↔ HTML, built for AI. Round-trip fidelity preserves formatting across every edit loop — ideal for RAG ingestion, LLM agents, and AI-assisted slide editing.