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This research delves into the intricate realm of integrating knowledge with LangChain in the context of Large Language Models (LLMs). The primary objective is to comprehensively understand the dynamics of knowledge incorporation within LLM applications. A critical examination of past findings and research papers forms the foundation, offering insights into existing challenges. Moreover, the paper introduces innovative techniques designed to overcome identified obstacles, aiming to elevate the effectiveness of knowledge integration in LLMs.
Keywords:
LangChain, LLM, RAG, LLM-Index, Optimized
Cite Article:
"Knowledge Integration with LangChain in LLM", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.246 - 248, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404032.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator