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Perplexica - AI Research Tools Tool

Overview

Perplexica is an open-source AI-powered search engine that uses similarity search and embeddings to process user queries and return precise answers with cited sources. It provides Normal and Copilot interaction modes and supports integration with local LLMs, positioning it as a privacy-conscious alternative to Perplexity AI.

Key Features

  • Similarity search using vector embeddings for query matching
  • Embeddings-based retrieval with cited source references
  • Normal and Copilot interaction modes
  • Integrates with local LLMs for on-premise processing
  • Open-source codebase hosted on GitHub
  • Designed as an alternative to Perplexity AI

Ideal Use Cases

  • Research queries that need cited answers
  • Company internal knowledge search with local LLM privacy
  • Developer evaluation and prototyping of search and LLM stacks
  • Embedding-based semantic search experiments
  • Building a privacy-conscious Perplexity-like assistant

Getting Started

  • Clone the repository from GitHub
  • Read the README for prerequisites and architecture
  • Install required dependencies listed in the repository
  • Configure embeddings backend and local LLM connectors
  • Run the app and test Normal then Copilot modes
  • Check project issues and docs for troubleshooting

Pricing

Open-source project; the repository does not disclose pricing or hosted plans.

Key Information

  • Category: Research Tools
  • Type: AI Research Tools Tool
Visit Official Website

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