Gptq_for_langchain Alternatives

Similar projects and alternatives to gptq_for_langchain

• guidance

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  Discontinued A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance] (by microsoft)

  

• haystack

  55 13,784 9.9 Python gptq_for_langchain VS 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.

  

• InfluxDB

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• learn-langchain

  8 274 6.7 Python gptq_for_langchain VS learn-langchain

• BrainChulo

  10 140 9.0 Python gptq_for_langchain VS BrainChulo

  Harnessing the Memory Power of the Camelids

  

• andromeda-chain

  1 13 6.9 Python gptq_for_langchain VS andromeda-chain

  Serving hugging face guidance behind a server

  

• Roy

  1 66 8.0 Jupyter Notebook gptq_for_langchain VS Roy

  Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models. (by JosefAlbers)

• visio-gptq

  1 2 6.0 Python gptq_for_langchain VS visio-gptq
  

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

• langchain-tutorials

  6 72 5.2 Jupyter Notebook gptq_for_langchain VS langchain-tutorials

  Overview and tutorial of the LangChain Library (by Anil-matcha)

• Local-LLM-Langchain

  1 207 6.4 Jupyter Notebook gptq_for_langchain VS Local-LLM-Langchain

  Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.