Want to hear more about the story of how we built LangChain? Come join us at the ClickHouse meetup in SF on March 4! Note: Signup required before this Friday, March 1st. https://
meetup.com/clickhouse-sil
icon-valley-meetup-group/events/299058486/
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@langchain
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LangChain Founders Share Building Story at ClickHouse Meetup
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LangSmith Expands Custom Model Cost Tracking Capabilities
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Custom Model Costs in LangSmith ✎ We've expanded token-based cost tracking to be fully customizable! This means that, in addition to tracking costs for OpenAI models, you can track costs for *any* model that you use. To register a model for cost tracking, navigate to
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Building JSON Agents with Ollama LangChain Neo4j
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JSON-based Agents With Ollama & LangChain Learn to implement a Mixtral agent that interacts with a graph database Neo4j through a semantic layer This work by @tb_tomaz is great for a few reasons: – Shows how to build an agent with an OSS model
– Shows how to build and use a -
Semantic Chunking: Three Methods for Document Splitting
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Semantic Chunking Semantic chunking using embedding distances between sentences to figure out how to split a document. A key decision is what threshold to split at. We now support three methods: Percentile
Interquartile Range
Standard Deviation Big shout out to -
Self-Corrective LLM Coding Assistant Build Tutorial
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Building a self-corrective coding assistant from scratch @RLanceMartin walks through building an LLM powered system that writes code, checks the code programmatically, and then self-corrects if there's an error A complex topic, but a great video!
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Airbyte State of Data Survey Seeks Community Input
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@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.
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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