@AirbyteHQ is also running their annual State of Data survey and would love to hear from you! Take 10 minutes and they'll make a $5 donation to the charity of your choice for participating.
@langchain
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Airbyte PyAirbyte Integrates 350+ Connectors with LangChain
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Universal Document Loader with langchain-airbyte @AirbyteHQ just launched their Python-native data loading system, PyAirbyte, and we couldn't be more excited to partner on this launch. Ingest data from Airbyte's 350+ connectors to your LangChain app with the document
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Self-corrective coding assistant with LangGraph and AlphaCodium
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Building a self-corrective coding assistant from scratch with LangGraph Code generation / analysis is one of the most important LLM applications. @itamar_mar and team recently released AlphaCodium, which showed that code generation can be improved by using a flow paradigm to
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LangChain Story at ClickHouse SF Meetup March 4
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Want to hear more about the story of how we built LangChain? Come join us at the ClickHouse meetup in SF on March 4! https://
meetup.com/clickhouse-sil
icon-valley-meetup-group/events/299058486/
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Instructor Tool: Comparing Different User Experience Designs
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Instructor is great! Just different UXs. Each has pros and cons
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Langchain-Elasticsearch Integration for Hybrid Retrieval Strategies
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langchain-elasticsearch integration package Use @elastic
’s text and vector search strategies through the new langchain-elasticsearch package. @elastic has been at the forefront of search for years, and the integration package exposes advanced hybrid retrieval strategies -
LangChain Simplifies Structured Output from LLMs
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Easy Structured Output from LLMs As more and more models support function calling, this is becoming the default way to get structured outputs from LLMs. We've added a new method on LangChain LLMs to make using this as easy as possible. Examples of model providers supporting
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RAG Systems Evolution with LangChain and Redis Webinar
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Join us this Thursday 2/29 at 9 AM PT for a webinar we're hosting with @Redisinc to learn more about the future of RAG! We'll talk about the evolution of RAG systems and go over practical examples illustrating the power of LangChain and Redis in RAG architectures. Sign up
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LangChain-Anthropic Integration with Claude Models
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langchain-anthropic integration package Use the latest Claude models with @AnthropicAI
's updated Messages API with the new langchain-anthropic package. Get their latest 200k context window with claude-2.1 and fast token counts with claude-instant-1.2. -
Agentic RAG with LangChain: Combining Agents and Retrieval
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Agentic RAG with LangChain LangChain is known for agents and RAG… what happens when you combine them? @AIMakerspace will be walking through a webinar on exactly that on Wednesday, March 20th. Sign up now! https://
lu.ma/agenticrag