Langchain

[esolment]

Can I use Langchain together with ollamafreeapi, and how?

[manu-7]

Yes, you can use LangChain together with ollamafreeapi.

LangChain can be used as the orchestration layer (prompts, chains, tools, RAG),
while ollamafreeapi acts as the LLM backend by exposing an OpenAI-compatible
or HTTP API.

High-level flow:
LangChain → OllamaFreeAPI → Ollama (local models)

Example (basic LLM usage):

from langchain_community.llms import Ollama

llm = Ollama(
    model="llama3",
    base_url="http://localhost:11434"  # or ollamafreeapi endpoint
)

response = llm.invoke("Explain LangChain in simple terms.")
print(response)
 

For RAG setups, a common pattern is:

Use local HuggingFace embeddings (e.g. sentence-transformers)

Use Ollama / ollamafreeapi only for text generation

This allows fully local, free inference with LangChain features like
prompt templates, chains, and retrieval.