Baseplate

What is Baseplate?

Baseplate is a backend service for teams building apps on large language models. Its multimodal database stores regular data and vector embeddings in the same spreadsheet-like table, so text, code, documents, images and links live together instead of in separate vector and relational databases. Data can be synced from tools such as Google Drive, S3, Box and Sharepoint, managed in the interface or through the API, and searched with keyword, semantic or hybrid search using an embedding model you choose. An app builder connects search results to a prompt template with variables, lets you pick among popular LLMs, and deploys the committed app to an endpoint with logs, deployment history, human feedback and caching. Endpoints can also power Slack, Discord and Teams bots. Completion usage is billed by your LLM provider using your own API keys. Baseplate offers a free start and mentions a Team plan and Enterprise terms, but publishes no prices.

Use cases

• Store embeddings and data in one database
• Build retrieval-augmented chat apps
• Sync documents from cloud storage
• Deploy LLM apps as API endpoints
• Run hybrid keyword and semantic search
• Launch Slack or Discord bots from an app
• Collect human feedback on LLM answers

Who it's for

• LLM app developers
• AI product teams
• Startups building AI features

Why use Baseplate

• Replaces a separate vector store, relational database and search layer with one place to manage.
• Versioned data helps avoid stale or duplicate content in LLM answers.
• Non-engineers can edit and test apps without code, while developers can use the API.
• A commit step creates a read-only app version, so edits do not break production by accident.

Baseplate features

• Hybrid database for embeddings, text, code, documents, images and links
• Spreadsheet-style editing of vectors in the UI or by API
• Automatic chunking of whole documents with a set chunk size
• Auto captioning and embedding of uploaded images
• Keyword, semantic or hybrid search with a choice of embedding model
• Multi-step search across several datasets in one app
• App builder with prompt variables and a choice of popular LLMs
• Commit and deploy apps to endpoints with logs and deployment history
• Built-in human feedback, logging and caching
• Dataset sync from Google Drive, S3, Box and Sharepoint

Baseplate integrations

• Google Drive
• S3
• Box
• Sharepoint
• Slack
• Discord

How to get started with Baseplate

1. Create a database and add embedding, data, metadata and image columns.
2. Add documents, which Baseplate splits into chunks, or upload pre-chunked rows through the API.
3. In the Apps tab, write a prompt template with variables and configure search against your database.
4. Add your LLM provider API keys, commit the app and deploy it to an endpoint.
5. Call the endpoint from your product or connect it to a chat bot, and review logs and feedback.

Baseplate limitations

• Pricing is not published on the product pages
• LLM completions are billed directly by your model provider through your own API keys
• Fine-tuned hybrid search controls are listed for Team Plan customers

Baseplate pricing

Yes, Baseplate has a free plan.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Baseplate alternatives

The main Baseplate alternatives listed on Debuly are Pinecone, Weaviate, Vectara, LlamaIndex, Zilliz Cloud and Chainlit. The table compares pricing and platforms; order is A–Z.

1. 

   Chainlit

   Open-source Python framework for building chat interfaces for LLM apps, now archived and no longer maintained.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Chainlit (official site)
2. 

   LlamaIndex

   Open-source framework plus the LlamaParse platform for parsing, extracting and indexing documents so LLM apps can use them.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit LlamaIndex (official site)
3. 

   Pinecone

   Managed vector database for AI search and RAG, with dense, sparse and full-text indexes, inference and an Assistant API.

   Developer platformsResearch and search
   FreemiumVisit Pinecone (official site)
4. 

   Vectara

   Agentic AI and RAG platform that ingests enterprise data and answers with grounded, traceable responses.

   Automation and agentsDeveloper platformsResearch and search
   Free trialVisit Vectara (official site)
5. 

   Weaviate

   Open-source vector database with hybrid search and a managed Weaviate Cloud for semantic search, RAG and recommendations.

   Developer platformsResearch and search
   FreemiumVisit Weaviate (official site)
6. 

   Zilliz Cloud

   Fully managed vector database from the team behind Milvus, with free, serverless and dedicated clusters plus on-demand lake-scale compute.

   Developer platformsResearch and search
   FreemiumVisit Zilliz Cloud (official site)

Baseplate FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

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