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Hey HN!Over the past few months, I&#x27;ve been working on building Omni - a workplace search and chat platform that connects to apps like Google Drive&#x2F;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&#x2F;Anthropic&#x2F;Gemini)
- Connectors for Google Workspace, Slack, Confluence, Jira, HubSpot, and more
- Connector SDK to build your own custom connectorsOmni is in beta right now, and I&#x27;d love your feedback, especially on the following:- Has anyone tried self-hosting workplace search and&#x2F;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: <a href="https:&#x2F;&#x2F;github.com&#x2F;getomnico&#x2F;omni" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;getomnico&#x2F;omni</a> (Apache 2.0 licensed)

Show HN: Omni – Open-source workplace search and chat, built on Postgres

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