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Index Single Document

from langchat import LangChat
from langchat.llm import OpenAI
from langchat.vector_db import Pinecone
from langchat.database import Supabase

# Setup
llm = OpenAI(api_key="sk-...", model="gpt-4o-mini")
vector_db = Pinecone(api_key="...", index_name="...")
db = Supabase(url="https://...", key="...")

ai = LangChat(llm=llm, vector_db=vector_db, db=db)

# Index document
result = ai.load_and_index_documents(
    file_path="company-handbook.pdf",
    chunk_size=1000,
    chunk_overlap=200
)

print(f"✅ Indexed {result['chunks_indexed']} chunks")

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Index Multiple Documents

result = ai.load_and_index_multiple_documents(
    file_paths=[
        "product-catalog.pdf",
        "faq-document.txt",
        "pricing-guide.csv"
    ],
    chunk_size=1000,
    chunk_overlap=200
)

print(f"✅ Total chunks: {result['total_chunks_indexed']}")
print(f"⏭️  Skipped: {result['total_chunks_skipped']}")

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Using Namespaces

Organize documents by topic: 
# Education documents
ai.load_and_index_documents(
    file_path="universities.pdf",
    namespace="education"
)

# Travel documents
ai.load_and_index_documents(
    file_path="destinations.pdf",
    namespace="travel"
)

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Complete Example

from langchat import LangChat
from langchat.llm import OpenAI
from langchat.vector_db import Pinecone
from langchat.database import Supabase
import os

# Setup
llm = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
vector_db = Pinecone(
    api_key=os.getenv("PINECONE_API_KEY"),
    index_name=os.getenv("PINECONE_INDEX_NAME")
)
db = Supabase(
    url=os.getenv("SUPABASE_URL"),
    key=os.getenv("SUPABASE_KEY")
)

ai = LangChat(llm=llm, vector_db=vector_db, db=db)

# Index documents
documents = [
    "company-handbook.pdf",
    "product-catalog.pdf",
    "faq-document.txt"
]

for doc in documents:
    if os.path.exists(doc):
        result = ai.load_and_index_documents(
            file_path=doc,
            chunk_size=1000,
            chunk_overlap=200
        )
        print(f"✅ {doc}: {result['chunks_indexed']} chunks")
Your documents are now searchable by your chatbot!

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Next Steps

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