Plain‑English semantic search
"Backend engineer with fintech experience in Pune." A RAG router decides between SQL aggregation and pgvector semantic retrieval — and tells you which it used.
Hiremesh is the open-source, AI-powered talent base for recruitment agencies, hiring firms, and sourcers who keep their own pool. RAG over every resume and recruiter note, plain-English search across the lot, pipelines per job — all self-hosted on your stack.
Backend engineers with fintech experience based in Pune:
What it does
Built for recruitment agencies, hiring firms, and independent sourcers running their own pool for themselves or their clients. AI + retrieval over every resume, note, and stage move — with audit trails you can defend.
"Backend engineer with fintech experience in Pune." A RAG router decides between SQL aggregation and pgvector semantic retrieval — and tells you which it used.
Ask anything about a candidate or the whole pool. Answers come back retrieval-grounded in resume sections and recruiter notes — with the source attached.
Per‑job stages you actually use. Drag, drop, move between jobs — no more sticky notes.
For agencies running many clients, in-house teams, or solo sourcers — one canonical candidate record. Pipelines reference the pool, not copies, so every job benefits from every conversation.
Drop a resume in. The parser turns it into structured candidate fields, with a sticky‑edit invariant: your manual fixes never get clobbered on re‑parse.
Every move, every reason, every recruiter — captured forever. Defensible audit trail without the spreadsheet archaeology.
Built for
Recruitment data is leverage. Hiremesh runs on infrastructure you control — no vendor lock‑in, no exfiltrated candidate pool, no per‑seat tax for asking your own database a question.
Run dozens of clients off one pool. Per‑job pipelines, shared candidates, defensible audit trails.
Build a private talent base across years of inbound, referrals, and silver medalists — yours forever.
Solo recruiters and boutique firms who want their own AI desk without paying per seat for someone else's.
Data sovereignty
Your talent pool is your business. Hiremesh is self-hosted by design — every resume, every note, every embedding lives on your infrastructure. Not on a vendor's servers, not in a shared multi-tenant database, not one TOS update away from being held hostage.
Built on
Boring infrastructure, exciting capabilities. Self-hosted with Docker, vector search on Postgres, and a single LLM gateway you can point at any provider you trust.
Single Compose file brings up the full stack — backend, parser worker, web UI, gateway. make up and you're live.
One database for both your structured candidate data and your embeddings. No separate vector store to babysit, no sync drift.
One unified gateway in front of every model — OpenAI, Anthropic, Bedrock, Ollama, your own. Swap providers without touching app code.
Automatic HTTPS, single‑port ingress, zero config gymnastics. Production‑ready out of the box for self‑hosting.
Plain‑English query → router decides between SQL aggregation and semantic retrieval → pgvector pulls the relevant resume chunks & notes → LiteLLM-routed model writes the cited answer. Every step in the repo, no black boxes.
Quickstart
Hiremesh ships as a single Docker Compose stack — Postgres + pgvector, parser worker, web UI,
LiteLLM gateway, and Caddy out front. Clone, set your secrets, bring it up. Full setup and
architecture docs live in docs/.
# 1. Clone the repo $ git clone https://github.com/noxtandav/hiremesh.git $ cd hiremesh # 2. Configure your secrets $ cp infra/.env.example infra/.env $ $EDITOR infra/.env # add LLM keys, db creds # 3. Boot the full stack $ make up → Hiremesh is now live at http://localhost
A complete local talent base — Postgres + pgvector, parser worker, web UI, LiteLLM gateway, Caddy ingress, all wired up.
infra/.env.example → infra/.env, add your LLM provider keys.make up — Docker brings up the stack on http://localhost.Hiremesh is in active development and built in the open. Star it, run it, fork it, shape it.