clickhouse_knowledge_base
opentelemetry-instrument-openai-py
clickhouse_knowledge_base | opentelemetry-instrument-openai-py | |
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2 | 1 | |
65 | 11 | |
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4.6 | 6.8 | |
10 months ago | about 2 months ago | |
JavaScript | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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clickhouse_knowledge_base
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Show HN: Langfuse – Open-source observability and analytics for LLM apps
However, for anyone reading this, they use Clickhouse under the hood and have created a knowledge base (https://github.com/tinybirdco/clickhouse_knowledge_base). I will browse it to learn more.
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We launched an open source ClickHouse Knowledge Base
We are very excited to announce that we've launched an open source ClickHouse Knowledge Base. Please feel free to check it out, and if you are so inclined, contribute to the public repo.
opentelemetry-instrument-openai-py
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Show HN: Langfuse – Open-source observability and analytics for LLM apps
Makes sense! If you're curious, I added an autoinstrumentation library for openai's python client here: https://github.com/cartermp/opentelemetry-instrument-openai-...
The main challenge I see is that since there's no standard that each LLM has for inputs/outputs (let alone retrieval APIs!) any kind of automatic instrumentation will need to have a bunch of adapters. I suppose LangChain helps here, but even then with so many folks ripping it out for production you're still in the same place.
Happy to collaborate on any design thinking for how to incorporate OTel support!
What are some alternatives?
langfuse - 🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
documentation - The source for Datadog's documentation site.
Documize - Modern Confluence alternative designed for internal & external docs, built with Go + EmberJS
opentelemetry-instrument-openai-
fern - 🌿 Stripe-level SDKs and Docs for your API