Use local LLM to Search local info

Källa: Relevanssi |

is it possible to setup thi LLM ollama to search local content
Yes! You can set up Ollama (a lightweight local LLM) to search and process local content (like files on your 192.168.1.37
network or a local database). Here’s how:

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Option 1: Use Ollama to Process Local Files (Text-Based)

If you have text files (e.g., CSV, logs, WordPress posts) on your local machine, you can:

1. Load them into Ollama using a custom prompt.
2. Search/analyze them like a local database.

Steps:

1. Install Ollama (if not done):

   curl -fsSL https://ollama.ai/install.sh | sh

2. Pull a model (e.g., mistral):

   ollama pull mistral

3. Load a local file (e.g., local_data.txt) into Ollama:

   echo "FILE: local_data.txt" | ollama run mistral --chat

(Ollama will read the file and answer questions based on its content.)

Limitations:

• Ollama doesn’t natively search files—you must manually pass them.
• For structured data (e.g., WordPress posts), you’d need a script to extract text first.

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Option 2: Use a Local Database + Ollama (Advanced)

For structured local data (e.g., SQL, CSV), combine Ollama with a local DB:

Example Workflow:

1. Store data in SQLite/PostgreSQL (e.g., WordPress posts in a local DB).
2. Use Ollama to query the DB via a script:

   import sqlite3
   import ollama

   # Connect to local DB
   conn = sqlite3.connect("local_posts.db")
   cursor = conn.cursor()

   # Fetch data
   cursor.execute("SELECT * FROM posts")
   posts = cursor.fetchall()

   # Pass to Ollama
   ollama.chat(
       model="mistral",
       messages=[{"role": "user", "content": f"Analyze these posts: {posts}"}]
   )

3. Run this script on your local machine.

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Option 3: Use a Local Search Engine (For WordPress)

If your WordPress site is on 192.168.1.37, you can:

1. Install a local search plugin (e.g., Local Search).
2. Use Ollama to answer questions based on search results:

   # Example: Search WordPress + pass to Ollama
   import requests
   from ollama import chat

   # Search WordPress
   response = requests.get("http://192.168.1.37/wordpress/search?q=local+data")
   data = response.text

   # Pass to Ollama
   chat(model="mistral", messages=[{"role": "user", "content": data}])

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Key Tools for Local Search + Ollama

Tool	Purpose
Ollama	Local LLM (processes text).
SQLite/PostgreSQL	Local DB (store structured data).
Local Search Plugin	Search WordPress locally.
Python + Ollama API	Script to fetch + analyze local data.

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Limitations

• Ollama can’t browse the web—it only processes local files.
• For real-time WordPress search, you’d need a local search plugin.
• If your WordPress site is just a test file, manual file loading (Option 1) is simplest.

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can i use Relevanssi plugin for this
Yes! You can use the Relevanssi plugin for WordPress to improve local search on your site (e.g., http://192.168.1.37/WordPress/),
but Ollama itself cannot directly integrate with Relevanssi—they work together in a two-step process:

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How to Use Relevanssi + Ollama for Local Search

Step 1: Set Up Relevanssi for WordPress

1. Install Relevanssi (if not done):

• Go to WordPress Dashboard → Plugins → Add New.
• Search for ”Relevanssi” and install it.
• Activate it.

1. Configure Relevanssi:

• Go to Relevanssi → Settings.
• Enable ”Search in Posts, Pages, Custom Post Types” (if needed).
• Adjust search fields (e.g., title, content, categories).

1. Test Local Search:

• Visit http://192.168.1.37/WordPress/ and search.
• Relevanssi will return results from your local WordPress database.

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Step 2: Use Ollama to Answer Search Results

Since Relevanssi only returns raw search results, you’ll need to:

1. Fetch results via WordPress REST API (or directly via Relevanssi).
2. Pass them to Ollama for natural language answers.

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Example Workflow (Python Script)

Here’s how to combine Relevanssi + Ollama:

1. Fetch Search Results (Using Relevanssi)

import requests

# Search via Relevanssi REST API (if enabled)
search_url = "http://192.168.1.37/wordpress/wp-json/relevanssi/v1/search"
query = "local data"

response = requests.post(search_url, json={"query": query})
results = response.json()  # Returns search results

2. Pass Results to Ollama

from ollama import chat

# Extract search results (e.g., title, content)
result_text = "\n".join([f"Title: {res['title']}\nContent: {res['content']}" for res in results])

# Ask Ollama to summarize
chat(
    model="mistral",
    messages=[
        {"role": "user", "content": f"Summarize these search results:\n{result_text}"}
    ]
)

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Alternative: Use a Local Search Plugin + Ollama

If Relevanssi’s REST API is too complex, you can:

1. Use a local search plugin (e.g., Local Search).
2. Fetch results via PHP and pass them to Ollama.

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Limitations

• Ollama cannot browse the web—it only processes local data.
• Relevanssi returns raw results—you must format them for Ollama.
• For real-time WordPress search, you’d need a local search plugin + API.

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Final Answer

Yes, you can use Relevanssi + Ollama for local search, but it requires:

1. Relevanssi to fetch search results.
2. A script (Python) to pass results to Ollama.
3. Ollama to generate natural language answers.