All-in-one solution for search, recommendations, and RAG

## Quick Links - [API Reference + Docs](https://docs.trieve.ai/api-reference) - [OpenAPI specification](https://api.trieve.ai/redoc) - [Typescript SDK](https://ts-sdk.trieve.ai/) - [Python SDK](https://pypi.org/project/trieve-py-client/) ## Features - **🔒 Self-Hosting in your VPC or on-prem**: We have full self-hosting guides for AWS, GCP, Kubernetes generally, and docker compose available on our [documentation page here](https://docs.trieve.ai/self-hosting/docker-compose). - **🧠 Semantic Dense Vector Search**: Integrates with OpenAI or Jina embedding models and [Qdrant](https://qdrant.tech) to provide semantic vector search. - **🔍 Typo Tolerant Full-Text/Neural Search**: Every uploaded chunk is vector'ized with [naver/efficient-splade-VI-BT-large-query](https://huggingface.co/naver/efficient-splade-VI-BT-large-query) for typo tolerant, quality neural sparse-vector search. - **🖊️ Sub-Sentence Highlighting**: Highlight the matching words or sentences within a chunk and bold them on search to enhance UX for your users. Shout out to the [simsearch](https://github.com/smartdatalake/simsearch) crate! - **🌟 Recommendations**: Find similar chunks (or files if using grouping) with the recommendation API. Very helpful if you have a platform where users' favorite, bookmark, or upvote content. - **🤖 Convenient RAG API Routes**: We integrate with OpenRouter to provide you with access to any LLM you would like for RAG. Try our routes for [fully-managed RAG with topic-based memory management](https://api.trieve.ai/redoc#tag/message/operation/create_message_completion_handler) or [select your own context RAG](https://api.trieve.ai/redoc#tag/chunk/operation/generate_off_chunks). - **💼 Bring Your Own Models**: If you'd like, you can bring your own text-embedding, SPLADE, cross-encoder re-ranking, and/or large-language model (LLM) and plug it into our infrastructure. - **🔄 Hybrid Search with cross-encoder re-ranking**: For the best results, use hybrid search with [BAAI/bge-reranker-large](https://huggingface.co/BAAI/bge-reranker-large) re-rank optimization. - **📆 Recency Biasing**: Easily bias search results for what was most recent to prevent staleness - **🛠️ Tunable Merchandizing**: Adjust relevance using signals like clicks, add-to-carts, or citations - **🕳️ Filtering**: Date-range, substring match, tag, numeric, and other filter types are supported. - **👥 Grouping**: Mark multiple chunks as being part of the same file and search on the file-level such that the same top-level result never appears twice **Are we missing a feature that your use case would need?** - call us at [628-222-4090](mailto:+16282224090), make a [Github issue](https://github.com/devflowinc/trieve/issues), or join the [Matrix community](https://matrix.to/#/#trieve-general:trieve.ai) and tell us! We are a small company who is still very hands-on and eager to build what you need; professional services are available. ## Local development with Linux ### Installing via Smithery To install Trieve for Claude Desktop automatically via [Smithery](https://smithery.ai/server/trieve-mcp-server): ```bash npx -y @smithery/cli install trieve-mcp-server --client claude ``` ### Debian/Ubuntu Packages needed packages ```sh sudo apt install curl \ gcc \ g++ \ make \ pkg-config \ python3 \ python3-pip \ libpq-dev \ libssl-dev \ openssl ``` ### Arch Packages needed ```sh sudo pacman -S base-devel postgresql-libs ``` ### Install NodeJS and Yarn You can install [NVM](https://github.com/nvm-sh/nvm) using its install script. ``` curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.5/install.sh | bash ``` You should restart the terminal to update bash profile with NVM. Then, you can install NodeJS LTS release and Yarn. ``` nvm install --l

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