Omni – Open-source workplace search and chat, built on Postgres
Hey HN! Over the past few months, I've been working on building Omni - a workplace search and chat platform that connects to apps like Google Drive/Gmail, Slack, Confluence, etc. Essentially an open-source alternative to Glean, fully self-hosted. I noticed that some orgs find Glean to be expensive and not very extensible. I wanted to build something that small to mid-size teams could run themselves, so I decided to build it all on Postgres (ParadeDB to be precise) and pgvector. No Elasticsearch, or dedicated vector databases. I figured Postgres is more than capable of handling the level…
In plain words
Omni is an open-source, self-hosted workplace search and chat platform that connects to applications like Google Drive, Gmail, Slack, and Confluence. Built on Postgres with ParadeDB and pgvector, it offers an alternative to commercial solutions like Glean for small to mid-size teams. The platform syncs data from connected apps, performs hybrid search combining BM25 and vector indexing, and can be deployed via Docker Compose with minimal configuration.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN! Over the past few months, I've been working on building Omni - a workplace search and chat platform that connects to apps like Google Drive/Gmail, Slack, Confluence, etc. Essentially an open-source alternative to Glean, fully self-hosted. I noticed that some orgs find Glean to be expensive and not very extensible. I wanted to build something that small to mid-size teams could run themselves, so I decided to build it all on Postgres (ParadeDB to be precise) and pgvector. No Elasticsearch, or dedicated vector databases. I figured Postgres is more than capable of handling the level of scale required. To bring up Omni on your own infra, all it takes is a single `docker compose up`, and some basic configuration to connect your apps and LLMs. What it does: - Syncs data from all connected apps and builds a BM25 index (ParadeDB) and HNSW vector index (pgvector) - Hybrid search combines results from both - Chat UI where the LLM has tools to search the index - not just basic RAG - Traditional search UI - Users bring their own LLM provider (OpenAI/Anthropic/Gemini) - Connectors for Google Workspace, Slack, Confluence, Jira, HubSpot, and more - Connector SDK to build your own custom connectors Omni is in beta right now, and I'd love your feedback, especially on the following: - Has anyone tried self-hosting workplace search and/or AI tools, and what was your experience like? - Any concerns with the Postgres-only approach at larger scales? Happy to answer any questions! The code: https://github.com/getomnico/omni (Apache 2.0 licensed)
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