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llama 3.1
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Open Source Wikipedia Chatbot
This chatbot demo is performing RAG with open-source models right inside Postgres.
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"I have a full proof of concept chatbot fully synced
to document changes, all done in 3 hours flat."
Founder @
Why build your chatbot on PostgresML
All-in-one RAG
Combine LLMs, vector memory, embedding generation, re-ranking, summarization and custom models into a single query
Simplified Infrastructure
Significantly reduce complex data pipelines with in-database architecture that cuts dev time for builders and latency for users.
High accuracy
Eliminate hallucinations and deliver real-time responses without endless fine-tuning or training.
Built-in security
Securely productionize the latest LLMs on your data with a mature, battle-tested database and fewer data transfers between microservices.
Advanced serach and retrieval features
Hybrid search
BTREE, KNN & ANN
Multi-modal search
Speed and scalability
No network latencies, no waiting ages for data to arrive in your modeling environment. Scale your data alongside your models to millions of requests
All-in-one RAG
Combine LLMs, vector memory, embedding generation, re-ranking, summarization and custom models into a single query
Simplified Infrastructure
Significantly reduce complex data pipelines with in-database architecture that cuts dev time for builders and latency for users.
High accuracy
Eliminate hallucinations and deliver real-time responses without endless fine-tuning or training.
Built-in security
Securely productionize the latest LLMs on your data with a mature, battle-tested database and fewer data transfers between microservices.
Advanced serach and retrieval features
Hybrid search
BTREE, KNN & ANN
Multi-modal search
Speed and scalability
No network latencies, no waiting ages for data to arrive in your modeling environment. Scale your data alongside your models to millions of requests
How it works
SELECT under_the_hood();
Don't get locked into a black box
Transparency: Easily inspect and understand the SQL-based operations that power the platform (or use Python, JS, C or Rust)
Customization: Extend platform capabilities by modifying or adding to SQL operations
Felxibility: Use PGML for your complete workflow, or in tandem with the solutions that work for you
Chat whereveryour users are
Bring factual memory and lightning-speed responses to you website, Discord, Slack and more with a seamless integration to your preferred communication platform
Better price for performance
Our pricing is based on the models you use. It’s designed to minimize costs and operations. You’ll also save because you can replace many existing tools.
Start your free project today
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