Hosted LangServe + LangChain Templates

LangChain · Beginner ·🛠️ AI Tools & Apps ·2y ago

Key Takeaways

The video demonstrates how to use Hosted LangServe and LangChain templates, specifically the neo4j-semantic-layer template from Neo4J, to deploy a web service and utilize LangSmith for app observability.

Original Description

Over the past few months, we've built a large collection of template LangServe apps. This video showcases a recent template from Neo4J, the neo4j-semantic-layer. This video imports the template and turns it into an a web service with LangServe, uses Hosted LangServe to deploy it, and uses LangSmith for app observability. It introduces a general workflow can be used w/ any LangServe template. Repo: https://github.com/langchain-ai/neo4j-semantic-layer
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Uploads from LangChain · LangChain · 46 of 60

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 18 Data Privacy for LLMs
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 20 LangChain Templates
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 21 Using Natural Language to Query Postgres with Jacob
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 22 Building a Research Assistant from Scratch
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 23 Benchmarking RAG over LangChain Docs
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 24 Skeleton-of-Thought: Building a New Template from Scratch
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 26 LangSmith Highlights: Getting Started
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 27 LangSmith Highlights: Debugging
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 28 LangSmith Highlights: Datasets
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 29 LangSmith Highlights: Evaluation
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 30 LangSmith Highlights: Human Annotation
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 31 LangSmith Highlights: Monitoring
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 32 LangSmith Highlights: Hub
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 38 LangChain v0.1.0 Launch: Observability
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 39 LangChain v0.1.0 Launch: Integrations
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 40 LangChain v0.1.0 Launch: Composability
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 41 LangChain v0.1.0 Launch: Streaming
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 42 LangChain v0.1.0 Launch: Output Parsing
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 43 LangChain v0.1.0 Launch: Retrieval
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 44 LangChain v0.1.0 Launch: Agents
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 45 Build and Deploy a RAG app with Pinecone Serverless
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 ▶ Hosted LangServe + LangChain Templates
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 47 LangGraph: Intro
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 48 LangGraph: Agent Executor
LangGraph: Agent Executor
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 49 LangGraph: Chat Agent Executor
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 50 LangGraph: Human-in-the-Loop
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 51 LangGraph: Dynamically Returning a Tool Output Directly
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 52 LangGraph: Respond in a Specific Format
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 53 LangGraph: Managing Agent Steps
LangGraph: Managing Agent Steps
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 54 LangGraph: Force-Calling a Tool
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 55 LangGraph: Multi-Agent Workflows
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 56 Streaming Events: Introducing a new `stream_events` method
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 57 Building a web RAG chatbot: using LangChain, Exa (prev. Metaphor), LangSmith, and Hosted Langserve
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 59 Open Source RAG with Nomic's New Embedding Model (and ChromaDB and Ollama)
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 60 LangGraph: Persistence
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This video showcases how to use Hosted LangServe and LangChain templates to deploy a web service and utilize LangSmith for app observability. It introduces a general workflow that can be used with any LangServe template.

Key Takeaways
  1. Import the neo4j-semantic-layer template from Neo4J
  2. Turn the template into a web service using LangServe
  3. Deploy the web service using Hosted LangServe
  4. Use LangSmith for app observability
  5. Customize the template to fit specific use cases
💡 The video demonstrates a general workflow that can be used with any LangServe template, making it a valuable resource for those looking to deploy web services using AI tools.

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