- Chat / agent models power agent mode in connector nodes and the AI chat sidebar.
- Embedding models turn documents into vectors so the Knowledge feature can do semantic search.
Chat / agent models
Anthropic Claude
Google Gemini
Embedding models
Embedding models convert text into high-dimensional vectors that capture semantic meaning. Spojit uses them whenever you upload a document to a Knowledge collection, and again at query time so the same vector space is used for search.
Both models support documents up to about 2,000 tokens per chunk; Spojit handles the chunking automatically during upload.
Once a collection is created with a given embedding model, every document and query in that collection must use the same model, because vectors from different models aren’t comparable. Choose your embedding model when you create the collection.
Where model selection appears
Connector nodes (agent mode)
When configuring a connector node in agent mode, the Model dropdown in the properties panel lets you pick which model runs that step. If you don’t select one, the default model is used. Each connector node can use a different model, so you’re not locked into one choice for the entire workflow.Chat sidebar
The chat sidebar has a model picker in the header bar. Select a model from the dropdown to change which model powers your chat session. Your selection persists across page reloads.Choosing a model
- Start with the default. Claude Opus 5 is the strongest Opus and the default for new workflows; it handles multi-tool chains, ambiguous instructions, and long-context tasks well.
- Reach for Claude Fable 5 when wrong answers are expensive. It offers the deepest reasoning available and excels at long autonomous agent runs; the premium pricing is worth it for the hardest problems.
- Use Sonnet 5 for a strong balance of capability and cost: near-Opus reasoning at Sonnet speed and price, well suited to coding and agent workflows.
- Use Sonnet 4.6 or Gemini 3.5 Flash-Lite for high-throughput steps where cost and latency matter more than peak reasoning quality.
- Use Haiku 4.5 for the simplest steps: short lookups, classification, simple formatting.
- Mix models in a single workflow. Different steps can use different models, so pick the right tool for each step rather than committing to one model for the whole flow.