Stream Events One of the biggest pain points with agents and other complex chains is streaming – not just of tokens, but of other events. We've added a new `stream_events` method to make this super easy As @waseemhnyc put it recently, you want to stream:
– current step
@langchain
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Stream Events Method for AI Agents and Complex Chains
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LangChain QA with RAG and Advanced Retrieval Techniques
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two pages id check out: QA with RAG, a page covering lot of different concept related to this use case: https://
python.langchain.com/docs/use_cases
/question_answering/
… Retrieval: a page covering advanced retrieval techniques: https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/
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Fireworks AI Partnership Brings Free Smaller Models to Playground
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We will look into it! in the meantime, we've partnered with @FireworksAI_HQ to bring a lot of those smaller models to the playground for free
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LangGraph: Eight New Videos for Building AI Agents
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We've added eight videos to help get started building with LangGraph Intro video to discuss what and why LangGraph is
Two different common agent run times
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LangGraph Official Launch: Building AI Agents Framework
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LangGraph We introduced LangGraph last week, but are excited to launch it more officially today (blog and YouTube series). It includes: Example of replicating the LangChain AgentExecutor
A chat agent executor (aimed specifically at chat models) LangGraph makes it easy -
Debugging RAG Apps: From Prototype to Production
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It's easy to get a prototype of a RAG app up and running… but going to production is a lot harder Is the retrieval step messing up? Does the prompt need to be improved? Debugging RAG apps can be complicated. @curious_kaylynn just published a great video on how to do it more
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LangServe Templates Neo4J Production Deployment Launch
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Rapid deployment of LangServe templates: Neo4J Support for production has been one of the biggest needs we've heard consistently from developers. We've added ~100 templates that work out-of-the-box as deployable apps using LangServe. Today, we're releasing a hands-on video
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Pinecone Serverless: Lower Costs, Better Latency, Effortless Scaling
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RAG with Pinecone Serverless Congrats to our friends at @pinecone for the recent launch of Pinecone Serverless! This has a few benefits for developers, including usage-base-pricing (>10x lower costs), improved latency, and effortless scaling (no more pods or storage limits).
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LangChain v0.1 Graph QnA: Learning LLM Integration
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Graph QnA with LangChain v0.1 @tb_tomaz has some of the best content out there on how to use LLMs to interact with graphs Over the weekend, he updated all his content to use LangChain v0.1 Perfect opportunity to jump in and start learning https://
github.com/tomasonjo/blog
s/tree/master/llm
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Building Question Answering Apps for Audio Data
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Good quick overview of how to build a question/answering app over audio data!