TalentLink — Web3 & AI Talent Network

mapping(address => uint256) private reputation;

uint256 public constant INITIAL_REPUTATION = 100;
uint256 public constant MAX_REPUTATION = 200;
uint256 public constant MIN_REPUTATION = 0;
uint256 public constant REPUTATION_DELTA = 5;

function increaseReputation(address user) external {
    require(
        reputation[user] >= MIN_REPUTATION,
        "User reputation not initialized"
    );

    if (reputation[user] + REPUTATION_DELTA > MAX_REPUTATION) {
        reputation[user] = MAX_REPUTATION;
    } else {
        reputation[user] += REPUTATION_DELTA;
    }

    emit ReputationIncreased(user, reputation[user]);
}

function decreaseReputation(address user) external {
    require(
        reputation[user] >= MIN_REPUTATION,
        "User reputation not initialized"
    );

    if (reputation[user] < REPUTATION_DELTA) {
        reputation[user] = MIN_REPUTATION;
    } else {
        reputation[user] -= REPUTATION_DELTA;
    }

    emit ReputationDecreased(user, reputation[user]);
}

from langchain_community.vectorstores import FAISS
from langchain.chains import RetrievalQA
from langchain_core.prompts import PromptTemplate

embeddings = CustomVivoEmbeddings()
vectorstore = FAISS.from_documents(documents, embeddings)
retriever = vectorstore.as_retriever(
    search_kwargs={"k": 3}
)

prompt = PromptTemplate(
    template=legal_review_template,
    input_variables=["context", "question"],
)

qa_chain = RetrievalQA.from_chain_type(
    llm=CustomVivoLLM(),
    chain_type="stuff",
    retriever=retriever,
    chain_type_kwargs={"prompt": prompt},
)