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Build a chatbot using the latest large language and ML models without drowning in microservice complexity.
Today's chatbot implementations require a patchwork build of services that introduce latency at each step. PostgresML combines and automates the entire chatbot workflow. It's less infrastructure overhead and a better (faster) experience for users.
than HuggingFace + Pinecone for a RAG chatbot
than OpenAI for embedding generation
On vector database cost compared to Pinecone
Deploy a next-gen chatbot with a cli builder, vector search, retrieval augmented generation (RAG) and the latest LLMs – all in your database.
Store your documents, chunks and text embeddings in one place for a simplified infrastructure footprint that requires less eng resources.
Get the only platform that can generate state-of-the-art LLM models without an external LLM inference service.
Get lightning fast and accurate vector recall. Eliminate roundtrip network calls for recall and querying for the lowest latency app.
Track chat history, prompts and prompt templates. Fine-tune the latest LLMs with chat history right in the database.
Bring factual memory and lightning-speed responses to your website, Discord, Slack and more with a seamless integration to your preferred communication platform.
It’s simple with a seamless in-database MLOps platform.
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