feat(readme): update content
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README.md
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README.md
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@ -25,18 +25,18 @@ Perplexica is an open-source AI-powered searching tool or an AI-powered search e
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## Features
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## Features
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- **Local LLMs**: You can make use local LLMs such as LLama2 and Mixtral using Ollama.
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- **Local LLMs**: You can make use local LLMs such as Llama3 and Mixtral using Ollama.
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- **Two Main Modes:**
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- **Two Main Modes:**
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- **Copilot Mode:** (In development) Boosts search by generating different queries to find more relevant internet sources. Like normal search instead of just using the context by SearxNG, it visits the top matches and tries to find relevant sources to the user's query directly from the page.
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- **Copilot Mode:** (In development) Boosts search by generating different queries to find more relevant internet sources. Like normal search instead of just using the context by SearxNG, it visits the top matches and tries to find relevant sources to the user's query directly from the page.
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- **Normal Mode:** Processes your query and performs a web search.
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- **Normal Mode:** Processes your query and performs a web search.
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- **Focus Modes:** Special modes to better answer specific types of questions. Perplexica currently has 6 focus modes:
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- **Focus Modes:** Special modes to better answer specific types of questions. Perplexica currently has 6 focus modes:
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1. **All Mode:** Searches the entire web to find the best results.
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- **All Mode:** Searches the entire web to find the best results.
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2. **Writing Assistant Mode:** Helpful for writing tasks that does not require searching the web.
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- **Writing Assistant Mode:** Helpful for writing tasks that does not require searching the web.
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3. **Academic Search Mode:** Finds articles and papers, ideal for academic research.
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- **Academic Search Mode:** Finds articles and papers, ideal for academic research.
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4. **YouTube Search Mode:** Finds YouTube videos based on the search query.
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- **YouTube Search Mode:** Finds YouTube videos based on the search query.
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5. **Wolfram Alpha Search Mode:** Answers queries that need calculations or data analysis using Wolfram Alpha.
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- **Wolfram Alpha Search Mode:** Answers queries that need calculations or data analysis using Wolfram Alpha.
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6. **Reddit Search Mode:** Searches Reddit for discussions and opinions related to the query.
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- **Reddit Search Mode:** Searches Reddit for discussions and opinions related to the query.
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- **Current Information:** Some search tools might give you outdated info because they use data from crawling bots and convert them into embeddings and store them in a index (its like converting the web into embeddings which is quite expensive.). Unlike them, Perplexica uses SearxNG, a metasearch engine to get the results and rerank and get the most relevent source out of it, ensuring you always get the latest information without the overhead of daily data updates.
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- **Current Information:** Some search tools might give you outdated info because they use data from crawling bots and convert them into embeddings and store them in a index. Unlike them, Perplexica uses SearxNG, a metasearch engine to get the results and rerank and get the most relevent source out of it, ensuring you always get the latest information without the overhead of daily data updates.
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It has many more features like image and video search. Some of the planned features are mentioned in [upcoming features](#upcoming-features).
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It has many more features like image and video search. Some of the planned features are mentioned in [upcoming features](#upcoming-features).
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@ -63,7 +63,7 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
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- `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models.**
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- `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models.**
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- `OLLAMA`: Your Ollama API URL. **You need to fill this if you wish to use Ollama's models instead of OpenAI's.**
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- `OLLAMA`: Your Ollama API URL. **You need to fill this if you wish to use Ollama's models instead of OpenAI's.**
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**Note**: (In development) You can change these and use different models after running Perplexica as well from the settings page.
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**Note**: You can change these and use different models after running Perplexica as well from the settings page.
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- `SIMILARITY_MEASURE`: The similarity measure to use (This is filled by default; you can leave it as is if you are unsure about it.)
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- `SIMILARITY_MEASURE`: The similarity measure to use (This is filled by default; you can leave it as is if you are unsure about it.)
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