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This repo contains the code of concepts and projects i learnt from the course "LangChain & Vector Databases in Production", “Training and Fine-tuning LLMs for Production” and "Retrieval Augmented Generation for Production with LangChain & LlamaIndex"

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srishtysuman2919/vector-voyage

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This repo I built while doing the courses from Activeloop, Towards AI, and Intel® Disruptor Initiative.

  1. 1_LangchainAndVectorDatabases repo is for this course-> https://learn.activeloop.ai/courses/take/langchain/lessons/46196287-introduction-to-the-course

  2. 2_TrainAndFinetuneLLMs repo is for this course-> https://learn.activeloop.ai/courses/take/llms/multimedia/48953538-course-introduction-and-logistics

  3. 2_RAG_langchain_llamaindex is from this course-> https://learn.activeloop.ai/courses/take/rag/multimedia/51320309-course-introduction-and-logistics

For all the three repos, I have used same environment, packages for which are listed in requirements.txt

API keys required:

OPENAI_API_KEY-> https://platform.openai.com/api-keys

ACTIVELOOP_TOKEN-> https://app.activeloop.ai/srishtysuman2919/home

HUGGINGFACE_KEY-> https://huggingface.co/settings/tokens

GOOGLE_CSE_ID-> https://console.cloud.google.com/apis/credentials

GOOGLE_API_KEY-> https://console.cloud.google.com/apis/credentials

COHERE_API_KEY-> https://dashboard.cohere.com/api-keys

ELEVEN_API_KEY-> https://elevenlabs.io/

SERPAPI_API_KEY-> https://serpapi.com/manage-api-key

GITHUB_TOKEN-> https://github.com/settings/tokens

WOLFRAM_ALPHA_APPID-> https://products.wolframalpha.com/api

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This repo contains the code of concepts and projects i learnt from the course "LangChain & Vector Databases in Production", “Training and Fine-tuning LLMs for Production” and "Retrieval Augmented Generation for Production with LangChain & LlamaIndex"

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