langfuse
langchain
| langfuse | langchain | |
|---|---|---|
| 11 | 36 | |
| 3,681 | 84,994 | |
| 30.4% | 5.2% | |
| 9.9 | 10.0 | |
| 7 days ago | 5 days ago | |
| TypeScript | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
langfuse
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Top Open Source Prompt Engineering Guides & Tools🔧🏗️🚀
Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
- Roast My Docs
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Show HN: Open-Source LLM Observability and Export to Grafana, Datadog etc.
Congrats on the Show! How’s this different from https://github.com/langfuse/langfuse? The exports seems really interesting
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RAG observability in 2 lines of code with Llama Index & Langfuse
Thus, we started working on Langfuse.com (GitHub) to establish an open source LLM engineering platform with tightly integrated features for tracing, prompt management, and evaluation. In the beginning we just solved our own and our friends’ problems. Today we are at over 1000 projects which rely on Langfuse, and 2.3k stars on GitHub. You can either self-host Langfuse or use the cloud instance maintained by us.
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langfuse VS agenta - a user suggested alternative
2 projects | 22 Nov 2023
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Ask HN: Who is hiring? (November 2023)
- We want to build a tool that is recommended here on HN: you can build a tool you would want to use yourself.
Please see more details here: https://langfuse.com/careers or reach out directly to me: [email protected]
[1] https://github.com/langfuse/langfuse
[2] https://create.t3.gg/
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How are generative AI companies monitoring their systems in production?
We struggled with this ourselves while building LLM-based products and then open-sourced our observability/monitoring tool [1]. Many use it to track RAG and agents in production, run custom evals on the production traces (focused on hallucination), and track how metrics are different across releases or customers. Feel free to dm if there is something specific you are looking to solve, happy to help.
[1] https://github.com/langfuse/langfuse
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LLM Analytics 101 - How to Improve your LLM app
Visit us on Discord and Github to engage with our project.
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Ask HN: Any tools or frameworks to monitor the usage of OpenAI API keys?
Maybe try https://github.com/langfuse/langfuse
It was recently shared on HN
- Show HN: Langfuse – Open-source observability and analytics for LLM apps
langchain
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Deploy LangServe Application to AWS
Limited by the current packaging method of Pluto, it does not yet support LangChain's Template Ecosystem. Coming soon
- Construyendo un asistente genAI de WhatsApp con Amazon Bedrock
- Show HN: SpRAG – Open-source RAG implementation for challenging real-world tasks
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Aider: AI pair programming in your terminal
Big fan of Aider.
We are interesting in integrating Aider as a tool for Dosu https://dosu.dev/ to help it navigate and modify a codebase on issues like this https://github.com/langchain-ai/langchain/issues/8263#issuec...
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🦙 Llama-2-GGML-CSV-Chatbot 🤖
Developed using Langchain and Streamlit technologies for enhanced performance.
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Building a WhatsApp generative AI assistant with Amazon Bedrock and Python
Tip: Kenton Blacutt, an AWS Associate Cloud App Developer, collaborated with Langchain, creating the Amazon Dynamodb based memory class that allows us to store the history of a langchain agent in an Amazon DynamoDB.
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👑 Top Open Source Projects of 2023 🚀
LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup.
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Fuck You, Show Me the Prompt
> Furthermore, the prompt has a spelling error (Let'w) and also overly focuses on the negative about identifying errors - which makes me skeptical that this prompt has been optimized or tested.
Fixed in https://github.com/langchain-ai/langchain/commit/7c6009b76f0...
- LangChain Repository Disappeared
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🆓 Local & Open Source AI: a kind ollama & LlamaIndex intro
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects
What are some alternatives?
trulens - Evaluation and Tracking for LLM Experiments
llama_index - LlamaIndex is a data framework for your LLM applications
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
agenta - The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
opentelemetry-instrument-openai-py - OpenTelemetry instrumentation for the OpenAI Python library
griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
examples - Your one-stop-shop to try Xata out. From packages to apps, whatever you need to get started.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
clickhouse_knowledge_base - The Tinybird ClickHouse Knowledge Base
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks