RAG and retrieval

Chroma

An open vector database that powers retrieval, so a model can answer from your documents with citations.

Who it is for

Teams building a knowledge or RAG system over their own content.

Install it

pip install chromadb
# start a server:
chroma run --path ./chroma-data

Before production

The database is the easy part. Accuracy comes from how you chunk, retrieve and evaluate. Measure before trusting.

Where Blash AI comes in

We build production retrieval with permissions, citations and evals, and connect it to your real content.

Run it, then wire it in

When you want this running on your real stack, that is the engagement

Open-source workflow automation. Connect apps, APIs and AI steps in one flow. A self-hosted Zapier you own.

Run open language models on your own machine or server. Keeps data in-house for sensitive work.

Call Anthropic, OpenAI, Google and 100+ models through one consistent API, with cost tracking and fallbacks.