Supercharge your |
with LLMs
Build Agentic workflows on your data using SQL and Python.
Deploy in minutes. Integrate with any LLM.
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Bring your Data to LLMs
LangDB allows you to leverage the power of large language models (LLMs) directly on top of your data warehouse, whether it's Snowflake, Databricks, or ClickHouse. Unlock the full potential of your data with just a few lines of SQL or Python.
Route your data through any LLM
LangDB integrates with all major LLM platforms, including OpenAI, Anthropic, Gemini, AWS Bedrock, Mistral, and more. Effortlessly route your data through various models based on performance, accuracy, or cost-efficiency. Test with the latest LLMs to ensure you're using the right model for your specific purpose.
RAG in minutes
LangDB enables users to create interactive RAG applications using just a few SQL statements. Everything just runs on the database, making production deployments a snap.
Experiment & Evaluate
LangDB automatically tracks all interactions, enabling users to experiment with multiple Large Language Models (LLMs) at once. It provides tracing data in table format, allowing you to run experiments, evaluate results, and seamlessly integrate them into your Retrieval-Augmented Generation (RAG) applications.
For Agile Data Teams
Work with SQL, Python and Notebooks to create your applications, and effortlessly share your work for seamless team collaboration. With LangDB, your team can build on each other's work, fostering continuous improvement.
Samples Gallery
QA on PDF Documents & RAG using LangDB
Extract data from PDFs and create a RAG function that leverages vector search using LangDB agent APIs
Open Notebook ➔
Combining Insights from Structured and Unstructured Data using LangDB
Combine insights from structured data (SQL tables) and unstructured data (Wikipedia articles) to answer user queries.
Open Notebook ➔
Structured Layout Extraction from PDFs and Images
Lodas and extract complex tables from PDF files, store it in a structured format, and use it for further analysis.
Open Notebook ➔