Search results for “site:python.langchain.com”

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python.langchain.com docs › tutorials › rag

Build a Retrieval Augmented Generation (RAG) App: Part 1 | 🦜️🔗 LangChain

One of the most powerful applications enabled by LLMs is sophisticated question-answering (Q&A) chatbots. These are applications that can answer questions about specific source information. These applications use a technique known as Retrieval Augmented Generation, or RAG.

python.langchain.com docs › integrations › memory › google_firestore

Google Firestore (Native Mode) | 🦜️🔗 LangChain

Google Cloud Firestore is a serverless document-oriented database that scales to meet any demand. Extend your database application to build AI-powered experiences leveraging Firestore's Langchain integrations.

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