Skip to main content

Semantic and hybrid search server

Project description

Example of the agent using RAG

Depends on the just-agents package

This package also has some features which are specific for Just-Chat integration.

It allows easier index for markdown files.

  1. Indexing papers

For indexing what you have to do is run

poetry shell
index_markdown <path_to_markdown_folder> -i <index_name>

this will index all markdown files in the folder and create a Meilisearch index. It will all be indexed in the location where you gave the input files from. NOTE: this is run here, in the just-semantic-search folder but can have targets outside of this folder, for example in other projects.

  1. Searching indexed papers

First off- searching is mostly done in the project you are working on. Meaning that the primary usecase is for the user to import the libary.

2.1. Just-Agents have you should configure a web_agent in your agent_profiles.yaml. You can either user meilisearch separately from just-chat or you can extend the just-chat docker-compose.yml file with the following meilisearch service.

meilisearch:
    container_name: meilisearch
    image: getmeili/meilisearch:v1.13.0-rc.2 # we have to use it because migration got easier
    environment:
      - http_proxy
      - https_proxy
      - MEILI_MASTER_KEY=fancy_master_key
      - MEILI_NO_ANALYTICS=${MEILI_NO_ANALYTICS:-true}
      - MEILI_ENV=${MEILI_ENV:-development}
      - MEILI_LOG_LEVEL
      - MEILI_DB_PATH=${MEILI_DB_PATH:-/data.ms}
      - MEILI_EXPERIMENTAL_ENABLE_METRICS=true
      - MEILI_EXPERIMENTAL_ENABLE_VECTORS=true
    ports:
      - ${MEILI_PORT:-7700}:7700
    volumes:
      - ./data.ms:/data.ms
    restart: unless-stopped

2.2. in requirements.txt you have to add just-semantic-search-meili 2.3. in agent_profiles.yaml you have to add the following tools for the agent you want to use it

      - package: "just_semantic_search.meili.tools"
        function: "search_documents"

This will allow the agent to use the search_documents function from the just_semantic_search.meili.tools package. Also, given you have indexed the papers in this project, the only part from the libary you will use is the search_documents function.

2.4. run

 docker compose up 

and querry the agent so that it will have to search your indexed papers

NOTE: to check things before you run the agent you can first check port 0.0.0.0:7700 to see if the meilisearch is running. -key is fancy_master_key There you should be able to see whether meilisearch is running and if there are indexes created.

Following text explains more in details how this library works and it is structured


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

just_semantic_search_server-0.1.8.tar.gz (10.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

just_semantic_search_server-0.1.8-py3-none-any.whl (10.3 kB view details)

Uploaded Python 3

File details

Details for the file just_semantic_search_server-0.1.8.tar.gz.

File metadata

  • Download URL: just_semantic_search_server-0.1.8.tar.gz
  • Upload date:
  • Size: 10.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.1 CPython/3.12.3 Linux/6.8.0-53-lowlatency

File hashes

Hashes for just_semantic_search_server-0.1.8.tar.gz
Algorithm Hash digest
SHA256 314deb1ba52985dfb53554d59f451f0e852cebbff317e5cd5599e76a8428c51a
MD5 999b2be7cad08394926b94cf20494c0c
BLAKE2b-256 eb185fac6a5239f86314bce2e7a9bca4f1c3047705b634e4f456c8265ff7201f

See more details on using hashes here.

File details

Details for the file just_semantic_search_server-0.1.8-py3-none-any.whl.

File metadata

File hashes

Hashes for just_semantic_search_server-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 11332d14ad1c50259ceded920e511be27dfc1c97bba093d7954502b79aea8edb
MD5 bde8069482924aea993e9174a57f3302
BLAKE2b-256 ef5fdb0a7ff003e5fbfd3d3c31ebd6942fea366e9bed038c5e2fe4b94fd84bfb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page