recruiting-hell VS langchain

Compare recruiting-hell vs langchain and see what are their differences.

recruiting-hell

A collection of terrible and weird interactions with recruiters, job descriptions, questions, and technical assessments (by ChrisMBarr)

langchain

🦜🔗 Build context-aware reasoning applications (by langchain-ai)
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recruiting-hell langchain
1 36
46 84,994
- 5.2%
7.6 10.0
6 months ago 7 days ago
Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

recruiting-hell

Posts with mentions or reviews of recruiting-hell. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-01.
  • Ask HN: Who is hiring? (November 2023)
    15 projects | news.ycombinator.com | 1 Nov 2023
    "Upload a screenshot of your desktop"

    - "Explain the organization of your desktop"

    The questions related to needing a photo of my desktop are for sure going into my collection of strange job application & recruiter interactions: https://github.com/finitelooper/recruiting-hell

langchain

Posts with mentions or reviews of langchain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-07.

What are some alternatives?

When comparing recruiting-hell and langchain you can also consider the following projects:

langfuse - 🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

llama_index - LlamaIndex is a data framework for your LLM applications

interview - Interview for OneUptime

semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps

datadog-static-analyzer - Datadog Static Analyzer

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.

examples - Your one-stop-shop to try Xata out. From packages to apps, whatever you need to get started.

griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

hyperdx - Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by Clickhouse and OpenTelemetry.

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks

langchain4j - Java version of LangChain